Triple
T12762556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 155th Street station (IND Concourse Line) |
E305029
|
entity |
| Predicate | hasStationBooth |
P60844
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [155th Street station (IND Concourse Line), hasStationBooth, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationBooth Context triple: [155th Street station (IND Concourse Line), hasStationBooth, yes]
-
A.
hasCollectorBooth
Indicates that an entity has an associated collector booth, typically a designated place or station where collection-related activities (such as payments, tickets, or items) are handled.
-
B.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
C.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
D.
hasTicketBooths
chosen
Indicates that one entity possesses or contains ticket booths used for selling or distributing tickets.
-
E.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8f9f588190bffdea878856204b |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.