Triple
T1470367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IND Queens Boulevard Line |
E27120
|
entity |
| Predicate | hasExpressService |
P16277
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [IND Queens Boulevard Line, hasExpressService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressService Context triple: [IND Queens Boulevard Line, hasExpressService, yes]
-
A.
hasExpressTracks
Indicates that a transportation route or facility includes tracks designated for express service, allowing faster travel with fewer stops than regular tracks.
-
B.
canExpress
Indicates that an entity has the ability or capacity to convey, articulate, or communicate something (such as an idea, emotion, or property).
-
C.
hasExpressSegments
chosen
Indicates that a route, service, or path includes segments that are designated as express, skipping certain intermediate stops or steps.
-
D.
hasInternationalService
Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
-
E.
hasCargoServices
Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
- F. None of above.
Provenance (3 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d9dd4c8190ba840a9255cd1293 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.