Triple
T1642979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyre Avenue Line |
E35514
|
entity |
| Predicate | openedAsSubwayLine |
P28350
|
FINISHED |
| Object | 1941 |
—
|
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: 1941 | Statement: [Dyre Avenue Line, openedAsSubwayLine, 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsSubwayLine Context triple: [Dyre Avenue Line, openedAsSubwayLine, 1941]
-
A.
openedAsSubway
chosen
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
openedAsRedLineStation
Indicates that a station began operation specifically as part of the Red Line when it first opened.
-
D.
metroLineInaugurated
Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
-
E.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.