Triple
T16467434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 30th Avenue station |
E399971
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object | BMT |
E78743
|
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: BMT | Statement: [30th Avenue station, division, BMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMT Context triple: [30th Avenue station, division, BMT]
-
A.
BMT
chosen
BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
-
B.
BMT
BMT is a long-distance hiking trail in the southeastern United States that traverses the Appalachian Mountains, named after conservationist Benton MacKaye.
-
C.
BMT lines
BMT lines are a group of New York City Subway routes that originated with the former Brooklyn–Manhattan Transit Corporation and primarily serve Brooklyn and Manhattan.
-
D.
BAM
BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
-
E.
BAM
BAM is a contemporary art museum in Boise, Idaho, known for its rotating exhibitions, educational programs, and regional art collections.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.