Triple
T3166381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway B line |
E66220
|
entity |
| Predicate | servicePatternBronx |
P46475
|
FINISHED |
| Object | local on IND Concourse Line |
—
|
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: local on IND Concourse Line | Statement: [New York City Subway B line, servicePatternBronx, local on IND Concourse Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servicePatternBronx Context triple: [New York City Subway B line, servicePatternBronx, local on IND Concourse Line]
-
A.
brooklynServiceType
Indicates a relationship where a specified type or category of service is associated with Brooklyn.
-
B.
manhattanServiceType
Indicates the specific category or type of service provided within the Manhattan area.
-
C.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
D.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
-
E.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada643e3e481908f4526d66e36e150 |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.