Triple
T24684735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway 2 line |
E611249
|
entity |
| Predicate | primaryTrunkLine |
P159027
|
FINISHED |
| Object | IRT Broadway–Seventh Avenue Line |
—
|
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: IRT Broadway–Seventh Avenue Line | Statement: [New York City Subway 2 line, primaryTrunkLine, IRT Broadway–Seventh Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTrunkLine Context triple: [New York City Subway 2 line, primaryTrunkLine, IRT Broadway–Seventh Avenue Line]
-
A.
primaryTramSystem
Indicates that a tram system serves as the main or most important tram network associated with a given place or organization.
-
B.
primaryCircuit
Indicates that one entity functions as the main or first-stage electrical path or loop in relation to another system or circuit.
-
C.
primaryBus
Indicates that one entity functions as the main or principal bus associated with another entity within a system or configuration.
-
D.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
E.
primaryRouteOf
Indicates that one route is the main or most important pathway used for reaching or connecting to a particular destination or 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 3:17 a.m.