Triple
T23685084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRT Broadway–Seventh Avenue Line bridge at 145th Street |
E585142
|
entity |
| Predicate | carriesTracks |
P3284
|
FINISHED |
| Object | two subway tracks |
—
|
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: two subway tracks | Statement: [IRT Broadway–Seventh Avenue Line bridge at 145th Street, carriesTracks, two subway tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriesTracks Context triple: [IRT Broadway–Seventh Avenue Line bridge at 145th Street, carriesTracks, two subway tracks]
-
A.
containsAdditionalTracksBeyond
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
B.
tracks
Indicates that one entity monitors, follows, or keeps a record of another entity’s state, behavior, or progress over time.
-
C.
trackIncluded
Indicates that a particular track is contained within, or forms part of, a larger collection, release, or grouping of tracks.
-
D.
hasTrack
chosen
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
trackOver
Indicates that one entity follows, monitors, or records the behavior, state, or progress of another entity across a period of time or over a sequence of events.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fb26c88190a6776e4dfd10d54c |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.