Triple
T14020445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn College |
E337315
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BC |
E337315
|
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: [Brooklyn College, shortName, BC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BC Context triple: [Brooklyn College, shortName, BC]
-
A.
BC
BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
-
B.
BC
BC is the vehicle registration code for Bacău County in Romania.
-
C.
BC
BC is the commonly used abbreviation for Bakersfield College, a public community college located in Bakersfield, California.
-
D.
BC
BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
-
E.
BC
chosen
BC is the commonly used abbreviation for Brooklyn College, a senior college of the City University of New York located in Brooklyn.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32f78dc8190bd357d179cbaa5bc |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.