Triple
T13633159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪本線 |
E325776
|
entity |
| Predicate | 主要駅 |
P1071
|
FINISHED |
| Object |
祇園四条駅
祇園四条駅は、京都市東山区の祇園エリアに位置し、観光や繁華街へのアクセス拠点となっている京阪電鉄の主要駅です。
|
E1050877
|
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: 祇園四条駅 | Statement: [京阪本線, 主要駅, 祇園四条駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 祇園四条駅 Context triple: [京阪本線, 主要駅, 祇園四条駅]
-
A.
Higashiyama Station
Higashiyama Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the historic Higashiyama district.
-
B.
京阪黄檗駅
京阪黄檗駅は、京都府宇治市に位置し、京阪電気鉄道宇治線が乗り入れる京都大学宇治キャンパス最寄りの鉄道駅です。
-
C.
Shinsaibashi Station
Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
-
D.
嵯峨嵐山駅
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
-
E.
三軒茶屋駅
三軒茶屋駅 is a major railway station in Tokyo’s Setagaya ward, serving as a key transit hub on the Tokyu Den-en-toshi and Setagaya Lines and a gateway to the lively Sangen-jaya neighborhood.
- 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: 祇園四条駅 Triple: [京阪本線, 主要駅, 祇園四条駅]
Generated description
祇園四条駅は、京都市東山区の祇園エリアに位置し、観光や繁華街へのアクセス拠点となっている京阪電鉄の主要駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 祇園四条駅 Target entity description: 祇園四条駅は、京都市東山区の祇園エリアに位置し、観光や繁華街へのアクセス拠点となっている京阪電鉄の主要駅です。
-
A.
Higashiyama Station
Higashiyama Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the historic Higashiyama district.
-
B.
京阪黄檗駅
京阪黄檗駅は、京都府宇治市に位置し、京阪電気鉄道宇治線が乗り入れる京都大学宇治キャンパス最寄りの鉄道駅です。
-
C.
Shinsaibashi Station
Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
-
D.
嵯峨嵐山駅
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
-
E.
三軒茶屋駅
三軒茶屋駅 is a major railway station in Tokyo’s Setagaya ward, serving as a key transit hub on the Tokyu Den-en-toshi and Setagaya Lines and a gateway to the lively Sangen-jaya neighborhood.
- 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_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_69f77fab07648190b3b3362a8ffa8961 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78070e95c819088982e26fe2d8e26 |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7815a858c8190a9ae47012d04f8e1 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:51 p.m.