Triple
T34166771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford–Nostrand Avenues station |
E876432
|
entity |
| Predicate | fareControlAreaCount |
P135461
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Bedford–Nostrand Avenues station, fareControlAreaCount, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareControlAreaCount Context triple: [Bedford–Nostrand Avenues station, fareControlAreaCount, multiple]
-
A.
fareControlAreaLocatedIn
Indicates that a fare control area (e.g., turnstiles or ticket gates) is physically located within a specified larger facility or space.
-
B.
hasFareControlAreaCount
chosen
Indicates the number of distinct fare-controlled areas associated with a given transit facility or station.
-
C.
fareControlLocation
Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
-
D.
fareControl
Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
-
E.
hasControlledAirspace
Indicates that a specified location or region falls within airspace where aircraft operations are regulated and managed by an aviation authority.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fdfb02481908656f80d4f801ddf |
completed | May 3, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.