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.