Triple
T10174280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappabashi-dori |
E235810
|
entity |
| Predicate | hasNearbyStation |
P5648
|
FINISHED |
| Object | Tawaramachi Station |
E525352
|
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: Tawaramachi Station | Statement: [Kappabashi-dori, hasNearbyStation, Tawaramachi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tawaramachi Station Context triple: [Kappabashi-dori, hasNearbyStation, Tawaramachi Station]
-
A.
Tawaramachi Station
chosen
Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
-
B.
Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
-
C.
Marutamachi Station
Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
-
D.
Nippombashi Station
Nippombashi Station is a major subway and railway hub in Osaka, Japan, serving the bustling Nipponbashi Den Den Town electronics and otaku shopping district.
-
E.
Takadanobaba Station
Takadanobaba Station is a major railway hub in Tokyo’s Shinjuku ward, serving multiple lines and providing convenient access to nearby universities and commercial areas.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b196bc8190a643f2b534497476 |
completed | May 3, 2026, 7:13 a.m. |
Created at: March 30, 2026, 9:11 p.m.