Triple
T8354672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中部地方 |
E196653
|
entity |
| Predicate | hasShinkansenStation |
P39390
|
FINISHED |
| Object | 名古屋駅 |
E83103
|
NE FINISHED |
How this triple was built (3 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: 名古屋駅 | Statement: [中部地方, hasShinkansenStation, 名古屋駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 名古屋駅 Context triple: [中部地方, hasShinkansenStation, 名古屋駅]
-
A.
Nagoya Station
chosen
Nagoya Station is one of Japan’s largest and busiest railway hubs, serving as a major Shinkansen and regional transit center in the city of Nagoya.
-
B.
Osaka Station
Osaka Station is a major railway terminal and transportation hub in Osaka, Japan, serving numerous local and long-distance train lines and connecting key commercial districts.
-
C.
Nagoya Daigaku Station
Nagoya Daigaku Station is a subway station in Nagoya, Japan, serving the area around Nagoya University’s Higashiyama Campus.
-
D.
Yokohama Station
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
E.
Suita Station
Suita Station is a railway station in Suita, Osaka Prefecture, Japan, serving passengers on the JR Kyoto Line (Tōkaidō Main Line).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShinkansenStation Context triple: [中部地方, hasShinkansenStation, 名古屋駅]
-
A.
hasShinkansenStop
chosen
Indicates that a location is served by and includes a stop for a Shinkansen (high-speed rail) line.
-
B.
hasHighSpeedRailStation
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
hasAdjacentStationOnFukutoshinLine
Indicates that one station is directly next to another station along the Fukutoshin railway line.
-
E.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
- F. None of above.
Provenance (4 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d9dff0081908219f9b2690d97fe |
completed | April 2, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.