Triple
T30373041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheridan Square |
E772601
|
entity |
| Predicate | subwayServiceAtNearbyStation |
P169742
|
FINISHED |
| Object | 1 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: 1 train | Statement: [Sheridan Square, subwayServiceAtNearbyStation, 1 train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subwayServiceAtNearbyStation Context triple: [Sheridan Square, subwayServiceAtNearbyStation, 1 train]
-
A.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
B.
subwayStationsApprox
Indicates that one subway station is approximately located near or corresponds to another subway station, allowing for minor differences in position or naming.
-
C.
nearestSuburbanRailwayStation
Indicates the relationship where a given place is associated with the suburban railway station that is geographically closest to it.
-
D.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
E.
nearestUndergroundStation
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
- F. None of above. chosen
Provenance (4 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6828532d081909897bbe49b280ced |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:59 p.m.