Triple
T23510723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 岐阜市 |
E572412
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | 名鉄岐阜駅 |
—
|
NE NERFINISHED |
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: 名鉄岐阜駅 | Statement: [岐阜市, hasRailwayStation, 名鉄岐阜駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 名鉄岐阜駅 Context triple: [岐阜市, hasRailwayStation, 名鉄岐阜駅]
-
A.
岐阜駅
chosen
岐阜駅は、岐阜県岐阜市に位置し、JR東海道本線などが乗り入れる同市の主要な鉄道ターミナル駅である。
-
B.
Nagoya Daigaku Station
Nagoya Daigaku Station is a subway station in Nagoya, Japan, serving the area around Nagoya University’s Higashiyama Campus.
-
C.
Kintetsu-Yokkaichi Station
Kintetsu-Yokkaichi Station is a major railway station in Yokkaichi, Mie Prefecture, Japan, operated by Kintetsu Railway and serving as an important local transport hub.
-
D.
Kishiwada Station
Kishiwada Station is a railway station in Kishiwada, Osaka Prefecture, Japan, serving as a stop on the Nankai Electric Railway network.
-
E.
Izumisano Station
Izumisano Station is a railway station in Izumisano, Osaka Prefecture, Japan, functioning as a key stop on lines operated by Nankai Electric Railway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7e99b081909620c4f951100023 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:07 p.m.