Triple
T22564110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 橋本市 |
E557896
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object |
南海高野線
南海高野線は、大阪府と和歌山県を結び、高野山方面へのアクセス路線として知られる南海電気鉄道の鉄道路線です。
|
E1543535
|
NE FINISHED |
How this triple was built (4 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: 南海高野線 | Statement: [橋本市, railwayLine, 南海高野線]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 南海高野線 Context triple: [橋本市, railwayLine, 南海高野線]
-
A.
八高線
八高線は、東京都八王子市と埼玉県高崎市方面を結び、首都圏西部と北関東をつなぐJR東日本の鉄道路線です。
-
B.
川越線
川越線は、埼玉県内で大宮駅と高麗川駅などを結び、首都圏北部の住宅地と主要幹線をつなぐJR東日本の鉄道路線です。
-
C.
鴨東線
鴨東線は、京都市中心部と東山・出町柳方面を結ぶ京阪電気鉄道の都市近郊路線です。
-
D.
Daiyūzan Line
The Daiyūzan Line is a regional railway line in Kanagawa Prefecture, Japan, operated by Izuhakone Railway and connecting Odawara with the Daiyūzan area.
-
E.
Takashinohama Line
The Takashinohama Line is a short commuter railway line in Osaka Prefecture, Japan, operated by Nankai Electric Railway and serving local passenger traffic.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 南海高野線 Triple: [橋本市, railwayLine, 南海高野線]
Generated description
南海高野線は、大阪府と和歌山県を結び、高野山方面へのアクセス路線として知られる南海電気鉄道の鉄道路線です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 南海高野線 Target entity description: 南海高野線は、大阪府と和歌山県を結び、高野山方面へのアクセス路線として知られる南海電気鉄道の鉄道路線です。
-
A.
八高線
八高線は、東京都八王子市と埼玉県高崎市方面を結び、首都圏西部と北関東をつなぐJR東日本の鉄道路線です。
-
B.
川越線
川越線は、埼玉県内で大宮駅と高麗川駅などを結び、首都圏北部の住宅地と主要幹線をつなぐJR東日本の鉄道路線です。
-
C.
鴨東線
鴨東線は、京都市中心部と東山・出町柳方面を結ぶ京阪電気鉄道の都市近郊路線です。
-
D.
Daiyūzan Line
The Daiyūzan Line is a regional railway line in Kanagawa Prefecture, Japan, operated by Izuhakone Railway and connecting Odawara with the Daiyūzan area.
-
E.
Takashinohama Line
The Takashinohama Line is a short commuter railway line in Osaka Prefecture, Japan, operated by Nankai Electric Railway and serving local passenger traffic.
- F. None of above. chosen
Provenance (5 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d70f01c81909e861a91dbc74ecc |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37a1ecc08190ac89e862582833a0 |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.