Triple
T801787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL Metropolitan Division |
E17142
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MET |
E62733
|
NE 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: MET | Statement: [NHL Metropolitan Division, abbreviation, MET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MET Context triple: [NHL Metropolitan Division, abbreviation, MET]
-
A.
MET
chosen
MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
-
B.
Metro
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Metro
Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
-
D.
MC
MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
-
E.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cd6b98819080898934552a72f9 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68924e1048190ba60034c8b8b3b9e |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.