Triple
T16281645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōjimachi area |
E395276
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yotsuya area |
E391980
|
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: Yotsuya area | Statement: [Kōjimachi area, locatedNear, Yotsuya area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yotsuya area Context triple: [Kōjimachi area, locatedNear, Yotsuya area]
-
A.
Sōemonchō entertainment district
The Sōemonchō entertainment district is a lively nightlife area in Osaka known for its dense concentration of bars, clubs, restaurants, and neon-lit streets.
-
B.
Nipponbashi area
The Nipponbashi area is Osaka’s famous electronics and otaku shopping district, known for its dense concentration of anime, manga, game, and gadget stores.
-
C.
Haginochaya area
The Haginochaya area is a neighborhood in Osaka known for its budget accommodations, dense urban streets, and proximity to the city’s traditional working-class districts.
-
D.
Iidabashi area
chosen
The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
-
E.
Shimbashi area
The Shimbashi area is a bustling business and entertainment district in central Tokyo known for its major train hub, office towers, and numerous restaurants and izakayas.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24910c6b881909ae5cc0908dd8eb2 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003550fc0c8190ba78666da8b3cd81 |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:05 a.m.