Triple
T10958892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All England Open Badminton Championships |
E258913
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object | Yonex |
E549810
|
NE FINISHED |
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: Yonex | Statement: [All England Open Badminton Championships, sponsoredBy, Yonex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonex Context triple: [All England Open Badminton Championships, sponsoredBy, Yonex]
-
A.
Yonex
chosen
Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
-
B.
Mizuno
Mizuno is a Japanese sports equipment and sportswear company known for producing high-quality gear and apparel for a wide range of sports.
-
C.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
-
D.
Slazenger
Slazenger is a British sports equipment brand best known for its long-standing association with tennis and other racket sports.
-
E.
Daiwa House Industry
Daiwa House Industry is a major Japanese construction and real estate development company known for large-scale commercial, residential, and mixed-use projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77127b10481908ad1efafb2a338d1 |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d751e8e081908f31ab2d82105c3c |
completed | April 18, 2026, 12:58 a.m. |
Created at: April 8, 2026, 9:23 p.m.