Triple
T20265625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanazono |
E498959
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Niseko United |
—
|
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: Niseko United | Statement: [Hanazono, partOf, Niseko United]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niseko United Context triple: [Hanazono, partOf, Niseko United]
-
A.
Niseko United
chosen
Niseko United is a renowned ski resort area in Hokkaido, Japan, comprising several interconnected ski resorts known for abundant powder snow and extensive terrain.
-
B.
Hokkaido Consadole Sapporo
Hokkaido Consadole Sapporo is a Japanese professional football club based in Sapporo that competes in the J1 League.
-
C.
Nagoya Fighting Eagles
Nagoya Fighting Eagles is a professional Japanese basketball team based in Nagoya that competes in the B.League.
-
D.
Albirex Niigata
Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
-
E.
Júbilo Iwata
Júbilo Iwata is a professional Japanese football club based in Iwata, Shizuoka, known for its success in the J.League and domestic cup competitions.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cf3d648190a0b0a7795045228a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.