Triple
T12652542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柏原市 |
E302198
|
entity |
| Predicate | 主な駅 |
P30882
|
FINISHED |
| Object | 安堂駅 |
E678254
|
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: 安堂駅 | Statement: [柏原市, 主な駅, 安堂駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 安堂駅 Context triple: [柏原市, 主な駅, 安堂駅]
-
A.
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。
-
B.
Abeno Station
chosen
Abeno Station is a railway station in Osaka, Japan, serving as a local transit hub with convenient access to nearby shopping and commercial complexes.
-
C.
Naka-Urawa Station
Naka-Urawa Station is a railway station in Saitama, Japan, operated by JR East on a major commuter route connecting central Tokyo with the surrounding suburbs.
-
D.
Asashiobashi Station
Asashiobashi Station is a railway station on Osaka's Chūō Line, serving the local area in Konohana-ku, Osaka, Japan.
-
E.
Asakusabashi Station
Asakusabashi Station is a railway and subway station in Tokyo, Japan, serving the Asakusabashi district with JR East and Toei Asakusa Line services.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.