Triple
T34583496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorimer Street station (BMT Jamaica Line) |
E887974
|
entity |
| Predicate | hasTracksUsedBy |
P200212
|
FINISHED |
| Object | J |
—
|
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: J | Statement: [Lorimer Street station (BMT Jamaica Line), hasTracksUsedBy, J]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTracksUsedBy Context triple: [Lorimer Street station (BMT Jamaica Line), hasTracksUsedBy, J]
-
A.
trackUsed
Indicates that a particular track (such as a route, path, or media track) has been utilized or selected in a given context.
-
B.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
D.
hasTailTracks
Indicates that an entity exhibits or leaves behind tail-shaped tracks or imprints as evidence of its movement or presence.
-
E.
hasTrackFeatures
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69ff7ae4bc948190a4cd21a60d091977 |
completed | May 9, 2026, 6:20 p.m. |
Created at: May 1, 2026, 2:03 a.m.