Triple
T573296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Metro |
E13707
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Namba Station |
E16052
|
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: Namba Station | Statement: [Osaka Metro, hasStation, Namba Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namba Station Context triple: [Osaka Metro, hasStation, Namba Station]
-
A.
Namba Station
chosen
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.
-
B.
Tsukamoto Station
Tsukamoto Station is a railway station in Osaka, Japan, served by JR West and located just west of the major Osaka Station on the Tōkaidō Main Line (JR Kobe Line).
-
C.
Kitashinchi Station
Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
-
D.
Tenma Station
Tenma Station is a railway station in Osaka, Japan, serving local commuter traffic on the Osaka Loop Line.
-
E.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5216c43148190961ff8cea8305b7e |
completed | March 2, 2026, 5:34 a.m. |
Created at: March 1, 2026, 7:33 p.m.