Triple
T10983876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Line |
E259575
|
entity |
| Predicate | numberOfStationsPlanned |
P51752
|
FINISHED |
| Object | about 16 |
—
|
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: about 16 | Statement: [Second Avenue Line, numberOfStationsPlanned, about 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStationsPlanned Context triple: [Second Avenue Line, numberOfStationsPlanned, about 16]
-
A.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
B.
numberOfAntennasPlanned
Indicates the planned or intended count of antennas associated with an entity or installation.
-
C.
hasLightRailStationPlanned
Indicates that a light rail station is planned or scheduled to be built at or associated with the given entity.
-
D.
numberPlanned
chosen
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
E.
railTransitLengthPlanned
Indicates the total length of rail transit infrastructure that is planned but not yet built or in operation.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772ec55fc81909b2b15f2493dddc6 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.