Triple
T8165673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighth Avenue and West 34th Street |
E190685
|
entity |
| Predicate | subwayLinesNearby |
P33788
|
FINISHED |
| Object | A |
—
|
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: A | Statement: [Eighth Avenue and West 34th Street, subwayLinesNearby, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subwayLinesNearby Context triple: [Eighth Avenue and West 34th Street, subwayLinesNearby, A]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
C.
nearUndergroundLine
chosen
Indicates that one entity is located close in distance to an underground (subway/metro) line.
-
D.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
-
E.
nearMetroStation
Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466698108190ba6aa625e9182b2a |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:38 p.m.