Triple
T28400509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Producing Centres for Long-Range Forecasts |
E719382
|
entity |
| Predicate | forecastRange |
P75972
|
FINISHED |
| Object | long-range |
—
|
LITERAL FINISHED |
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: long-range | Statement: [Global Producing Centres for Long-Range Forecasts, forecastRange, long-range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forecastRange Context triple: [Global Producing Centres for Long-Range Forecasts, forecastRange, long-range]
-
A.
forecastUsing
Indicates that one entity generates or derives a forecast by using information, methods, or data from another entity.
-
B.
providesForecastFor
Indicates that one entity supplies or delivers a forecast (such as a prediction or projection) specifically concerning another entity.
-
C.
predictionHorizon
chosen
Indicates the temporal extent into the future over which a prediction or forecast is intended to apply.
-
D.
foreseesImplementationPeriodOf
Indicates that one entity anticipates or plans the future time frame during which another entity will be implemented or carried out.
-
E.
weatherAgency
Indicates that one entity functions as a weather-related authority or service provider responsible for monitoring, forecasting, or reporting atmospheric conditions for another entity or region.
- F. None of above.
Provenance (3 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64d6a679881909445372a0d5f75c4 |
completed | May 2, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:19 a.m.