Triple
T2284397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Columbia |
E51353
|
entity |
| Predicate | shortName |
P43
|
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: [British Columbia, shortName, BC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BC Context triple: [British Columbia, shortName, BC]
-
A.
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.
-
B.
BC
chosen
BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
-
C.
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.
-
D.
B
B is the vehicle registration code used on license plates for Berlin, Germany.
-
E.
B
B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894cbb788190826b27cefb856651 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.