Triple
T30373040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheridan Square |
E772601
|
entity |
| Predicate | subwayLineServedByNearbyStation |
P18378
|
FINISHED |
| Object | IRT Broadway–Seventh Avenue Line |
—
|
NE NERFINISHED |
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: IRT Broadway–Seventh Avenue Line | Statement: [Sheridan Square, subwayLineServedByNearbyStation, IRT Broadway–Seventh Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subwayLineServedByNearbyStation Context triple: [Sheridan Square, subwayLineServedByNearbyStation, IRT Broadway–Seventh Avenue Line]
-
A.
subwayLine
chosen
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
C.
nearbyMainlineConnection
Indicates that one entity has a mainline connection located in close physical proximity to another entity.
-
D.
adjacentStationOnMetropolitanLine
Indicates that one station is directly next to another station along the Metropolitan Line, with no other stations in between on that line.
-
E.
subwayStationsApprox
Indicates that one subway station is approximately located near or corresponds to another subway station, allowing for minor differences in position or naming.
- F. None of above.
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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6828532d081909897bbe49b280ced |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:59 p.m.