Triple
T21653235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikimoto Ginza 2 building |
E534391
|
entity |
| Predicate | isLandmarkOf |
P6629
|
FINISHED |
| Object | Ginza |
—
|
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 | Statement: [Mikimoto Ginza 2 building, isLandmarkOf, Ginza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginza Context triple: [Mikimoto Ginza 2 building, isLandmarkOf, Ginza]
-
A.
Ginza
chosen
Ginza is a famous upscale shopping, dining, and entertainment district in central Tokyo known for its luxury boutiques, department stores, and vibrant nightlife.
-
B.
Ginza
"Ginza" is a reggaeton song by Colombian artist J Balvin that became a major Latin hit and helped solidify his international fame.
-
C.
Otemachi
Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
D.
Ginza district
The Ginza district is a famous upscale area in central Tokyo known for its luxury shopping, high-end dining, and vibrant nightlife.
-
E.
Nagatacho
Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59164fe081908abd2e33dcd67def |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.