Triple
T20009107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Météo-France |
E494538
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | ECMWF |
—
|
NE NERFINISHED |
How this triple was built (2 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: ECMWF | Statement: [Météo-France, memberOf, ECMWF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECMWF Context triple: [Météo-France, memberOf, ECMWF]
-
A.
European Centre for Medium-Range Weather Forecasts
chosen
The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
-
B.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
-
C.
Copernicus Climate Change Service
The Copernicus Climate Change Service is a European Union program that provides authoritative climate data, analyses, and projections to support climate policy, adaptation, and research.
-
D.
ECMWF Ensemble Prediction System
The ECMWF Ensemble Prediction System is a global numerical weather prediction framework that runs multiple forecast simulations to quantify atmospheric uncertainty and provide probabilistic weather guidance.
-
E.
Met Office
The Met Office is the United Kingdom's national meteorological service, responsible for weather forecasting, climate science, and related research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a81c5881909692fcaaf59a57c9 |
completed | April 20, 2026, 5:26 p.m. |
Created at: April 11, 2026, 3:33 p.m.