Triple
T8204566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Data-processing Centres |
E191656
|
entity |
| Predicate | cooperatesWith |
P435
|
FINISHED |
| Object |
Global Producing Centres for Long-Range Forecasts
Global Producing Centres for Long-Range Forecasts are specialized meteorological institutions designated by the World Meteorological Organization to generate and provide operational long-range and seasonal climate predictions for use worldwide.
|
E719382
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Global Producing Centres for Long-Range Forecasts | Statement: [Global Data-processing Centres, cooperatesWith, Global Producing Centres for Long-Range Forecasts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Global Producing Centres for Long-Range Forecasts Context triple: [Global Data-processing Centres, cooperatesWith, Global Producing Centres for Long-Range Forecasts]
-
A.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
B.
Numerical prediction of cyclogenesis
"Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
-
C.
Regional Specialized Meteorological Centres
Regional Specialized Meteorological Centres are designated meteorological institutions around the world that provide specialized weather analysis, forecasting, and warning services for specific regions under the World Meteorological Organization framework.
-
D.
Global Framework for Climate Services
The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
-
E.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Global Producing Centres for Long-Range Forecasts Triple: [Global Data-processing Centres, cooperatesWith, Global Producing Centres for Long-Range Forecasts]
Generated description
Global Producing Centres for Long-Range Forecasts are specialized meteorological institutions designated by the World Meteorological Organization to generate and provide operational long-range and seasonal climate predictions for use worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Global Producing Centres for Long-Range Forecasts Target entity description: Global Producing Centres for Long-Range Forecasts are specialized meteorological institutions designated by the World Meteorological Organization to generate and provide operational long-range and seasonal climate predictions for use worldwide.
-
A.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
B.
Numerical prediction of cyclogenesis
"Numerical prediction of cyclogenesis" is a pioneering scientific work by Jule Gregory Charney that applied early computer-based numerical methods to forecast the formation and development of cyclones in the atmosphere.
-
C.
Regional Specialized Meteorological Centres
Regional Specialized Meteorological Centres are designated meteorological institutions around the world that provide specialized weather analysis, forecasting, and warning services for specific regions under the World Meteorological Organization framework.
-
D.
Global Framework for Climate Services
The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
-
E.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7268e2dc8190b630ea2bb75d0474 |
completed | March 31, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedd27bc08190a8109217069a8978 |
completed | April 1, 2026, 10:05 a.m. |
| NEDg | Description generation | batch_69ccf1b818588190936f96d53bf08c2b |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05c2059081908bd04ee4722f9aad |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:43 p.m.