Triple
T8174341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRT |
E190904
|
entity |
| Predicate | associatedWMOCode |
P9474
|
FINISHED |
| Object | 47671 |
—
|
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: 47671 | Statement: [NRT, associatedWMOCode, 47671]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWMOCode Context triple: [NRT, associatedWMOCode, 47671]
-
A.
WMO code
chosen
Indicates that an entity is associated with a specific identifier defined by the World Meteorological Organization (WMO) coding system.
-
B.
associatedWithWeather
Indicates a relationship where something is connected or related to weather conditions or phenomena.
-
C.
meteorologicalAgency
Indicates that one entity functions as the official meteorological agency responsible for providing weather and climate services for another entity or region.
-
D.
associatedWithPrecipitationType
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
-
E.
relatedCode
Indicates that one code is associated with, linked to, or otherwise contextually connected to another code.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb480a7ac4819088fabd5bec6ba2e5 |
completed | March 31, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:40 p.m.