Triple
T12652538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柏原市 |
E302198
|
entity |
| Predicate | 主な駅 |
P30882
|
FINISHED |
| Object |
柏原駅
柏原駅は、大阪府柏原市に位置し、JR関西本線(大和路線)などが乗り入れる同市の主要な鉄道駅です。
|
E996589
|
NE FINISHED |
How this triple was built (5 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: 柏原駅 | Statement: [柏原市, 主な駅, 柏原駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 柏原駅 Context triple: [柏原市, 主な駅, 柏原駅]
-
A.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
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.
大宮駅
大宮駅は、埼玉県さいたま市大宮区に位置する東日本旅客鉄道(JR東日本)や東武鉄道、埼玉新都市交通などが乗り入れる北関東有数のターミナル駅です。
-
D.
前橋駅
前橋駅は、群馬県前橋市に位置し、JR両毛線などが乗り入れる同市中心部の主要鉄道駅です。
-
E.
Musashi-Urawa Station
Musashi-Urawa Station is a railway station in Saitama, Japan, that functions as a key commuter hub connecting local passengers to central Tokyo and surrounding areas.
- 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: 柏原駅 Triple: [柏原市, 主な駅, 柏原駅]
Generated description
柏原駅は、大阪府柏原市に位置し、JR関西本線(大和路線)などが乗り入れる同市の主要な鉄道駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 柏原駅 Target entity description: 柏原駅は、大阪府柏原市に位置し、JR関西本線(大和路線)などが乗り入れる同市の主要な鉄道駅です。
-
A.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
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.
大宮駅
大宮駅は、埼玉県さいたま市大宮区に位置する東日本旅客鉄道(JR東日本)や東武鉄道、埼玉新都市交通などが乗り入れる北関東有数のターミナル駅です。
-
D.
前橋駅
前橋駅は、群馬県前橋市に位置し、JR両毛線などが乗り入れる同市中心部の主要鉄道駅です。
-
E.
Musashi-Urawa Station
Musashi-Urawa Station is a railway station in Saitama, Japan, that functions as a key commuter hub connecting local passengers to central Tokyo and surrounding areas.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な駅 Context triple: [柏原市, 主な駅, 柏原駅]
-
A.
isMainBusStationFor
Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
-
B.
formerMainlineStation
Indicates that a station previously served as a mainline station but no longer holds that status.
-
C.
代表的途中駅
Indicates that something serves as or is designated as an intermediate station representing a route or line.
-
D.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
E.
isMajorStationOn
chosen
Indicates that a station serves as a primary or significant stop on a particular route or line.
- F. None of above.
Provenance (6 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_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.