Triple
T2567353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Kobe Line |
E57383
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Kobe Station |
E525155
|
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: Kobe Station | Statement: [JR Kobe Line, terminus, Kobe Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobe Station Context triple: [JR Kobe Line, terminus, Kobe Station]
-
A.
Kobe Station
chosen
Kobe Station is a major railway hub in Kobe, Japan, serving as a key gateway for regional and intercity rail services in the Kansai area.
-
B.
Shin-Kobe Station
Shin-Kobe Station is a major railway hub in Kobe, Japan, serving Shinkansen and local lines and providing access to nearby attractions such as the Nunobiki Herb Garden.
-
C.
Kosoku Kobe Station
Kosoku Kobe Station is an underground railway station in Kobe, Japan, serving as a key transit hub for access to the Harborland shopping and entertainment district.
-
D.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
E.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3602ed08190aad0f9c7ac577eb0 |
completed | March 7, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfaf20b6408190ae0ab543361a0eb2 |
completed | March 22, 2026, 8:58 a.m. |
Created at: March 6, 2026, 9:48 p.m.