Triple
T16013837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinbashi |
E388409
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hamamatsucho |
—
|
NE NERFINISHED |
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: Hamamatsucho | Statement: [Shinbashi, near, Hamamatsucho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamamatsucho Context triple: [Shinbashi, near, Hamamatsucho]
-
A.
Hamamatsucho
chosen
Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
-
B.
Yurakucho
Yurakucho is a lively commercial and entertainment district in central Tokyo known for its shopping complexes, theaters, and atmospheric izakaya alleys beneath the railway tracks.
-
C.
Minami-Aoyama
Minami-Aoyama is an upscale district in Tokyo’s Minato ward known for its fashionable boutiques, stylish cafes, and contemporary art galleries.
-
D.
Shinbashi
Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
-
E.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
Created at: April 10, 2026, 4:55 a.m.