Triple
T646209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 train |
E11246
|
entity |
| Predicate | notableManhattanStations |
P17667
|
FINISHED |
| Object | 125th Street |
—
|
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: 125th Street | Statement: [4 train, notableManhattanStations, 125th Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableManhattanStations Context triple: [4 train, notableManhattanStations, 125th Street]
-
A.
primaryManhattanLine
Indicates that one line segment or path is the main or dominant axis, measured using Manhattan (grid-based) distance, relative to other possible lines.
-
B.
bronxLine
Indicates a relationship where something is part of, associated with, or runs along the Bronx transit or route line.
-
C.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
D.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
-
E.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1b24b08190897d8aedb877bd83 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0c0dcc8190849211d45489a5a7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49df0de3c81909721eb391ec94031 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.