Triple
T21361794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishikawa Prefecture |
E526799
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Nanao |
—
|
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: Nanao | Statement: [Ishikawa Prefecture, hasCity, Nanao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanao Context triple: [Ishikawa Prefecture, hasCity, Nanao]
-
A.
Nanao
chosen
Nanao is a coastal city in Ishikawa Prefecture, Japan, historically known as the political and economic center of the former Noto region.
-
B.
Yokote
Yokote is a city in Akita Prefecture, Japan, known for its heavy snowfall and the annual Yokote Kamakura Snow Festival featuring traditional igloo-like snow huts.
-
C.
Kumayama
Kumayama is a corrupt businessman and secondary antagonist in the 1964 kaiju film "Mothra vs. Godzilla," known for exploiting Mothra’s egg for personal profit.
-
D.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
-
E.
Tateyama
Tateyama is a coastal city in southern Chiba Prefecture, Japan, known for its mild climate, beaches, and views of Mount Fuji across Tokyo Bay.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06a4e4c8190923741bfae0e4234 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.