Triple
T2314378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Subway |
E51029
|
entity |
| Predicate | phase1IntermediateStation |
P24280
|
FINISHED |
| Object | 86th 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: 86th Street | Statement: [Second Avenue Subway, phase1IntermediateStation, 86th Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phase1IntermediateStation Context triple: [Second Avenue Subway, phase1IntermediateStation, 86th Street]
-
A.
hasIntermediateStation
chosen
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
-
B.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
C.
intermediateTerminus
Indicates that something serves as a temporary or middle stopping point within a larger route, process, or sequence.
-
D.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to another entity.
-
E.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.