Triple
T13705386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 先斗町 |
E328625
|
entity |
| Predicate | hasAccess |
P273
|
FINISHED |
| Object | 京阪本線祇園四条駅 |
E1050877
|
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: 京阪本線祇園四条駅 | Statement: [先斗町, hasAccess, 京阪本線祇園四条駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京阪本線祇園四条駅 Context triple: [先斗町, hasAccess, 京阪本線祇園四条駅]
-
A.
祇園四条駅
chosen
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。
-
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.
Umeda Station (Osaka Metro)
Umeda Station (Osaka Metro) is a major subway hub in Osaka’s Umeda district, serving multiple Osaka Metro lines and providing extensive connections to nearby JR and private railway stations.
-
D.
Kintetsu Kyoto Station
Kintetsu Kyoto Station is a major private railway terminal in Kyoto, Japan, serving Kintetsu Railway lines and providing convenient connections to JR and other local transit services.
-
E.
Osaka Metro Namba Station
Osaka Metro Namba Station is a major underground railway hub in Osaka’s Namba district, serving multiple subway lines and providing convenient access to surrounding commercial and entertainment complexes.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.