Triple
T1180106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelham Line |
E25114
|
entity |
| Predicate | hasThroughServiceWith |
P26302
|
FINISHED |
| Object | Brooklyn via IRT Lexington Avenue Line trunk and Brooklyn branches |
—
|
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: Brooklyn via IRT Lexington Avenue Line trunk and Brooklyn branches | Statement: [Pelham Line, hasThroughServiceWith, Brooklyn via IRT Lexington Avenue Line trunk and Brooklyn branches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThroughServiceWith Context triple: [Pelham Line, hasThroughServiceWith, Brooklyn via IRT Lexington Avenue Line trunk and Brooklyn branches]
-
A.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
B.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
C.
hasServiceOnCorridor
Indicates that a service operates along, or is provided on, a specific corridor or route.
-
D.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
E.
hasServiceClass
Indicates that an entity is associated with, or categorized under, a particular class or type of 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd52177081908c5cec8e731b836e |
completed | March 1, 2026, 10:27 p.m. |
Created at: March 1, 2026, 7:45 p.m.