Triple
T13633180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪本線 |
E325776
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | 京阪本線 |
E325776
|
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: 京阪本線 | Statement: [京阪本線, 別名, 京阪本線]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京阪本線 Context triple: [京阪本線, 別名, 京阪本線]
-
A.
京阪本線
chosen
京阪本線は、大阪と京都を結び京阪電気鉄道の主要幹線として都市間輸送や通勤・通学需要を担う鉄道路線です。
-
B.
京阪交野線
京阪交野線は、大阪府枚方市と交野市を結び、京阪本線と接続する京阪電気鉄道の支線的な役割を持つ鉄道路線である。
-
C.
Osaka Metro Midosuji Line
The Osaka Metro Midosuji Line is a major north–south subway line in Osaka, Japan, forming the city’s primary transit backbone and connecting key commercial and transport hubs.
-
D.
Osaka Metro Chuo Line
The Osaka Metro Chuo Line is a major rapid transit line in Osaka, Japan, running east–west through the city and serving key commercial, business, and waterfront areas.
-
E.
Osaka Metro Sakaisuji Line
The Osaka Metro Sakaisuji Line is a rapid transit line in Osaka, Japan, running north–south through the city and connecting key commercial and residential districts.
- 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_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 9, 2026, 9:51 p.m.