Triple
T36406479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taufik Hidayat |
E896760
|
entity |
| Predicate | worldChampionshipTournament |
P89163
|
FINISHED |
| Object | BWF World Championships |
—
|
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: BWF World Championships | Statement: [Taufik Hidayat, worldChampionshipTournament, BWF World Championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipTournament Context triple: [Taufik Hidayat, worldChampionshipTournament, BWF World Championships]
-
A.
worldTournament
Indicates a competitive event or series of contests held at a global level, typically involving participants from multiple countries.
-
B.
worldChampionshipsOrganiser
Indicates that the subject is responsible for organizing or managing world championship events for the object.
-
C.
worldChampionshipChallenger
Indicates that an entity has qualified to challenge the reigning world champion in a given competition or discipline.
-
D.
WorldChampionshipsEvent
chosen
Indicates an event that is part of, or constitutes, a world-level championship competition.
-
E.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
- F. None of above.
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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:10 p.m.