Triple
T17428966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Furano |
E423816
|
entity |
| Predicate | worksIn |
P1527
|
FINISHED |
| Object | Furano City Hall |
—
|
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 Hall | Statement: [Mayor of Furano, worksIn, Furano City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furano City Hall Context triple: [Mayor of Furano, worksIn, Furano City Hall]
-
A.
Furano City Hall
chosen
Furano City Hall is the main municipal government building and administrative center serving the city of Furano in Hokkaido, Japan.
-
B.
Otaru City Hall
Otaru City Hall is the main municipal government building and administrative center serving the city of Otaru in Hokkaido, Japan.
-
C.
Fukuchiyama City Hall
Fukuchiyama City Hall is the main municipal government building and administrative center serving the city of Fukuchiyama in Kyoto Prefecture, Japan.
-
D.
Fujinomiya City Hall
Fujinomiya City Hall is the main municipal government building and administrative center serving the city of Fujinomiya in Shizuoka Prefecture, Japan.
-
E.
Hadano City Hall
Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
- 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.