Triple
T13633152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪本線 |
E325776
|
entity |
| Predicate | 主要駅 |
P1071
|
FINISHED |
| Object | 京橋駅 |
—
|
NE NERFINISHED |
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: 京橋駅 | Statement: [京阪本線, 主要駅, 京橋駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京橋駅 Context triple: [京阪本線, 主要駅, 京橋駅]
-
A.
Kyobashi Station
chosen
Kyobashi Station is a major railway hub in Osaka, Japan, serving multiple JR West, Keihan, and Osaka Metro lines and connecting central Osaka with surrounding areas.
-
B.
Nihonbashi Station
Nihonbashi Station is a major underground railway and subway interchange in central Tokyo, serving multiple Tokyo Metro and Toei lines near the historic Nihonbashi district.
-
C.
Higashi-ginza Station
Higashi-ginza Station is a Tokyo subway station serving the Higashi-Ginza district, providing access to major commercial and entertainment areas including the Ginza shopping district.
-
D.
Shinagawa Station
Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
-
E.
Bandōbashi Station
Bandōbashi Station is a subway station on the Yokohama Municipal Subway Blue Line serving the Bandōbashi area in Minami Ward, Yokohama, Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:51 p.m.