Triple
T646161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulton Street station |
E11245
|
entity |
| Predicate | servesService |
P839
|
FINISHED |
| Object | 2 train |
—
|
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: 2 train | Statement: [Fulton Street station, servesService, 2 train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesService Context triple: [Fulton Street station, servesService, 2 train]
-
A.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
B.
servesLine
chosen
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
C.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
D.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
E.
servesField
Indicates that one entity performs a service or function specifically for, or in support of, a particular field, domain, or area of activity.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1b24b08190897d8aedb877bd83 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0c0dcc8190849211d45489a5a7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.