Triple
T13633151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪本線 |
E325776
|
entity |
| Predicate | 主要駅 |
P1071
|
FINISHED |
| Object | 淀屋橋駅 |
E691785
|
NE 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: 淀屋橋駅 | Statement: [京阪本線, 主要駅, 淀屋橋駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 淀屋橋駅 Context triple: [京阪本線, 主要駅, 淀屋橋駅]
-
A.
千駄ケ谷駅
千駄ケ谷駅は、東京都渋谷区に位置し、主にJR中央・総武線各駅停車が発着する駅です。
-
B.
千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
-
C.
Shin-Itabashi Station
Shin-Itabashi Station is a railway station in the Itabashi ward of Tokyo, Japan, serving local commuter traffic on the Toei Mita Line.
-
D.
Itabashi-Kuyakushomae Station
Itabashi-Kuyakushomae Station is a railway station in Tokyo, Japan, serving the Itabashi ward and providing local commuter access within the city’s urban rail network.
-
E.
Yodoyabashi Station
chosen
Yodoyabashi Station is a major underground railway hub in central Osaka, Japan, serving both Osaka Metro and private railway lines and providing access to the city’s main business district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aef6fd08190b209a94b9ddd024c |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.