Triple
T3527930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sennichimae Line |
E74585
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Nodahanshin Station |
E448218
|
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: Nodahanshin Station | Statement: [Sennichimae Line, terminus, Nodahanshin Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nodahanshin Station Context triple: [Sennichimae Line, terminus, Nodahanshin Station]
-
A.
Nodahanshin Station
chosen
Nodahanshin Station is a railway station in Osaka, Japan, serving as the western terminus of the Osaka Metro Sennichimae Line and providing access to the Noda Hanshin area.
-
B.
Hanaten Station
Hanaten Station is a railway station in Osaka, Japan, serving as a stop on JR West lines including the Osaka Higashi Line.
-
C.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Hatagaya Station
Hatagaya Station is a railway station in Shibuya, Tokyo, serving the Keio New Line as a local transit hub for the Hatagaya neighborhood.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6d099c8190b2b1e65a56e52089 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf275f49f48190ad92d5aaebaac4d0 |
completed | April 3, 2026, 2:35 a.m. |
Created at: March 8, 2026, 3:19 p.m.