Triple
T5011316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinsaibashi Station |
E112626
|
entity |
| Predicate | nagahoriTsurumiRyokuchiLineOpening |
P30642
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Shinsaibashi Station, nagahoriTsurumiRyokuchiLineOpening, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nagahoriTsurumiRyokuchiLineOpening Context triple: [Shinsaibashi Station, nagahoriTsurumiRyokuchiLineOpening, 1996]
-
A.
hasShinkansenStop
Indicates that a location is served by and includes a stop for a Shinkansen (high-speed rail) line.
-
B.
railwayLineOpened
chosen
Indicates that a railway line began official operation or service on a specified date.
-
C.
terminusOnHonshu
Indicates that the endpoint or terminus of something (such as a route, line, or connection) is located on the island of Honshu.
-
D.
SeikanTunnelConnects
Indicates that the Seikan Tunnel serves as a physical connection between two geographic locations or regions.
-
E.
adjacentStationOnChuoLine
Indicates that two stations are directly next to each other as consecutive stops on the Chuo railway 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730d70ac8190a1818d628e95ab04 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.