Triple
T12801653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nozomi |
E306032
|
entity |
| Predicate | stopsAt |
P6657
|
FINISHED |
| Object | Hiroshima Station |
—
|
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: Hiroshima Station | Statement: [Nozomi, stopsAt, Hiroshima Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshima Station Context triple: [Nozomi, stopsAt, Hiroshima Station]
-
A.
Hiroshima Station
chosen
Hiroshima Station is the main railway hub of Hiroshima, Japan, serving as a key stop on the Sanyō Shinkansen and regional rail lines.
-
B.
Nagasaki Station
Nagasaki Station is the main railway hub of Nagasaki City in Japan, serving as a key gateway for regional and intercity train services.
-
C.
Daigo Station
Daigo Station is a subway station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the Daigo area and nearby cultural sites.
-
D.
Himeji Station
Himeji Station is a major railway hub in Hyōgo Prefecture, Japan, serving as a key stop on the Sanyō Shinkansen and several conventional lines and providing access to the famous Himeji Castle.
-
E.
Nara Station
Nara Station is a major railway hub in Nara, Japan, serving as a key gateway for travelers visiting the historic city and its famous cultural landmarks.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
Created at: April 9, 2026, 5:30 p.m.