Triple
T9008765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitt Meadows |
E215411
|
entity |
| Predicate | regionCode |
P208
|
FINISHED |
| Object | BC |
E51353
|
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: BC | Statement: [Pitt Meadows, regionCode, BC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BC Context triple: [Pitt Meadows, regionCode, BC]
-
A.
BC
BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
-
B.
BC
BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
-
C.
BC
chosen
BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
-
D.
BC
BC is the commonly used abbreviation for Brooklyn College, a senior college of the City University of New York located in Brooklyn.
-
E.
B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ec84348190944a2310a6a60448 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:06 p.m.