Triple
T21009654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka-Kitakyushu metropolitan area |
E517511
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tagawa |
—
|
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: Tagawa | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Tagawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagawa Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Tagawa]
-
A.
Tagawa
chosen
Tagawa is a small inland city in Japan known historically as a coal-mining center within Fukuoka Prefecture on Kyushu Island.
-
B.
Hommachi
Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
-
C.
Ayagawa
Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
-
D.
Futakotamagawa
Futakotamagawa is a riverside commercial and residential district in Tokyo known for its large shopping complexes, upscale housing, and scenic Tama River views.
-
E.
Sakuragawa
Sakuragawa is a neighborhood in Osaka, Japan, known as one of the major districts within Naniwa Ward.
- 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.