Triple
T25024452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodhaven Boulevard station |
E626669
|
entity |
| Predicate | isMajorTransitStop |
P145586
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Woodhaven Boulevard station, isMajorTransitStop, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTransitStop Context triple: [Woodhaven Boulevard station, isMajorTransitStop, true]
-
A.
isMajorTransitNode
chosen
Indicates that a location functions as a primary hub in a transportation network, where multiple major routes or services intersect or connect.
-
B.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
C.
isPublicTransportStation
Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
-
D.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
E.
isMajorTransportLink
Indicates that something serves as a primary or highly significant route or connection for transporting people or goods between places.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:07 a.m.