Triple
T30816496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 145th Street (IRT Broadway–Seventh Avenue Line) |
E784791
|
entity |
| Predicate | hasStationSign |
P197166
|
FINISHED |
| Object | black name tablets with white lettering |
—
|
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: black name tablets with white lettering | Statement: [145th Street (IRT Broadway–Seventh Avenue Line), hasStationSign, black name tablets with white lettering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationSign Context triple: [145th Street (IRT Broadway–Seventh Avenue Line), hasStationSign, black name tablets with white lettering]
-
A.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
B.
hasStationIcon
Indicates that an entity is associated with a specific icon used to visually represent a station.
-
C.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
D.
hasStationFunction
Indicates that an entity serves in a particular functional role or capacity at a station.
-
E.
callSignStation
Indicates that a particular call sign is assigned to or used by a specific station.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69fe7b1b3460819081172731b52ac15b |
completed | May 9, 2026, 12:08 a.m. |
Created at: April 29, 2026, 8:44 p.m.