Triple
T5730386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 135th Street station (Lenox Avenue Line) |
E126366
|
entity |
| Predicate | fareControlAreaLocation |
P8430
|
FINISHED |
| Object | mezzanine level |
—
|
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: mezzanine level | Statement: [135th Street station (Lenox Avenue Line), fareControlAreaLocation, mezzanine level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareControlAreaLocation Context triple: [135th Street station (Lenox Avenue Line), fareControlAreaLocation, mezzanine level]
-
A.
fareControlLocation
chosen
Indicates a location where access to or use of a transportation service is regulated, checked, or controlled for fare payment.
-
B.
appliesToAirspaceOf
Indicates that a rule, restriction, or condition is specifically relevant to, or in effect within, a particular airspace.
-
C.
aircraftFacility
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
D.
hasDepartureArea
Indicates that something (such as a trip, route, or transport service) has a specific area or location from which it departs.
-
E.
fareControl
Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.