Triple
T8761203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asakusa Station |
E208201
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Nakamise-dori |
E238595
|
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: Nakamise-dori | Statement: [Asakusa Station, nearby, Nakamise-dori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakamise-dori Context triple: [Asakusa Station, nearby, Nakamise-dori]
-
A.
Nakamise-dori
chosen
Nakamise-dori is the historic, souvenir- and snack-filled shopping street that leads up to Tokyo’s Senso-ji Temple and is one of the oldest commercial streets in Japan.
-
B.
Shijo-dori
Shijo-dori is one of Kyoto’s main east–west streets, famous for its bustling shopping areas and as a central route through the historic Gion district.
-
C.
Kappabashi-dori
Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
-
D.
Harumi-dōri
Harumi-dōri is a major thoroughfare in central Tokyo that runs through the upscale Ginza district, known for its luxury shopping and vibrant urban streetscape.
-
E.
Aoyama-dori
Aoyama-dori is a major thoroughfare in Tokyo’s Aoyama district, known for its upscale boutiques, modern architecture, and cultural landmarks.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfa9d6c81908c4c6b3a6f84f67d |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4354a4c081908c338db408694abf |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.