Triple
T9251610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya City Art Museum |
E222338
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Naka-ku, Nagoya |
E382208
|
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: Naka-ku, Nagoya | Statement: [Nagoya City Art Museum, locatedIn, Naka-ku, Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naka-ku, Nagoya Context triple: [Nagoya City Art Museum, locatedIn, Naka-ku, Nagoya]
-
A.
Naka Ward, Nagoya
chosen
Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
-
B.
Chikusa-ku, Nagoya
Chikusa-ku, Nagoya is a ward in the city of Nagoya, Japan, known for its academic institutions, residential neighborhoods, and cultural facilities.
-
C.
Nagoya
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
-
D.
Atsuta-ku, Nagoya
Atsuta-ku, Nagoya is a ward in the city of Nagoya, Japan, best known as the site of the historic and culturally significant Atsuta Shrine.
-
E.
Neyagawa
Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05fb1454819098f452846ca4ca61 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c72be25c8190931204b21966502e |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:31 p.m.