Triple
T21009671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka-Kitakyushu metropolitan area |
E517511
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Buzen |
—
|
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: Buzen | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Buzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buzen Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Buzen]
-
A.
Buzen
chosen
Buzen is a small coastal city in eastern Fukuoka Prefecture on Japan’s Kyushu island, known for its rural character and scenic seaside setting.
-
B.
Buzan-ha
Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
-
C.
Buzenval
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
-
D.
Bunzo
Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
-
E.
Nyunzu
Nyunzu is a town and administrative center in southeastern Democratic Republic of the Congo, known for its role as a local hub in Tanganyika Province.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3edc548190987a6c2c9936286a |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.