Triple
T21309849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimbashi Station |
E525299
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ginza district |
—
|
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: Ginza district | Statement: [Shimbashi Station, near, Ginza district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginza district Context triple: [Shimbashi Station, near, Ginza district]
-
A.
Ginza district
chosen
The Ginza district is a famous upscale area in central Tokyo known for its luxury shopping, high-end dining, and vibrant nightlife.
-
B.
Nihonbashi district
Nihonbashi district is a historic commercial and financial area in central Tokyo known for its traditional merchant roots and role as a major business hub.
-
C.
Omotesando district
Omotesando district is a fashionable Tokyo neighborhood known for its tree-lined avenue, high-end boutiques, modern architecture, and trendy cafes.
-
D.
Toranomon district
Toranomon district is a central business and commercial area in Tokyo known for its modern skyscrapers, government offices, and proximity to major transport and cultural sites.
-
E.
Nagatachō district
Nagatachō district is Tokyo’s political center, housing key institutions such as the National Diet Building, the Prime Minister’s Office, and various government ministries.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aaa56fc81909ba7649302528269 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.