Triple
T17428941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Furano |
E423816
|
entity |
| Predicate | headOfGovernmentOf |
P307
|
FINISHED |
| Object | Furano City |
—
|
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: Furano City | Statement: [Mayor of Furano, headOfGovernmentOf, Furano City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furano City Context triple: [Mayor of Furano, headOfGovernmentOf, Furano City]
-
A.
Furano
chosen
Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
-
B.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
C.
Yonezawa City
Yonezawa City is a historic castle town in southern Yamagata Prefecture, Japan, known for its samurai heritage, hot springs, and renowned Yonezawa beef.
-
D.
Nobeoka City
Nobeoka City is a coastal city in southeastern Kyushu, Japan, known for its chemical and electronics industries and scenic natural surroundings.
-
E.
Yūbari, Hokkaido
Yūbari, Hokkaido is a small city in central Hokkaido, Japan, historically known for its coal mining industry and now noted for its Yubari King melons and dramatic post-industrial landscape.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fe9e28819092a80f5686eb362f |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.