Triple
T27456365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West 40th Street and Sixth Avenue |
E692603
|
entity |
| Predicate | hasNearbySubwayComplex |
P119624
|
FINISHED |
| Object | 42nd Street–Bryant Park / Fifth Avenue subway complex |
—
|
NE NERFINISHED |
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: 42nd Street–Bryant Park / Fifth Avenue subway complex | Statement: [West 40th Street and Sixth Avenue, hasNearbySubwayComplex, 42nd Street–Bryant Park / Fifth Avenue subway complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbySubwayComplex Context triple: [West 40th Street and Sixth Avenue, hasNearbySubwayComplex, 42nd Street–Bryant Park / Fifth Avenue subway complex]
-
A.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
-
B.
hasNearbyUndergroundStationEntrance
chosen
Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
-
C.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
D.
hasUndergroundFeatureNearby
Indicates that an entity is located close to an underground feature (such as a tunnel, cave, or buried structure).
-
E.
hasSubwayStationEntrance
Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 27, 2026, 12:49 p.m.