Triple
T10983877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Line |
E259575
|
entity |
| Predicate | numberOfStationsOpenedInPhase1 |
P96454
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Second Avenue Line, numberOfStationsOpenedInPhase1, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStationsOpenedInPhase1 Context triple: [Second Avenue Line, numberOfStationsOpenedInPhase1, 3]
-
A.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
B.
metroLineInaugurated
Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
-
C.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
D.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
E.
firstSubwayOpeningSegment
Indicates that the subject is the initial segment or section of a subway line that was opened first in its operation or construction sequence.
- 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_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. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.