Triple
T36406493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taufik Hidayat |
E896760
|
entity |
| Predicate | ThomasCupParticipant |
P175417
|
FINISHED |
| Object | Indonesia national team |
—
|
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: Indonesia national team | Statement: [Taufik Hidayat, ThomasCupParticipant, Indonesia national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ThomasCupParticipant Context triple: [Taufik Hidayat, ThomasCupParticipant, Indonesia national team]
-
A.
ThomasCupParticipation
chosen
Indicates participation of an entity (typically a team or player) in the Thomas Cup badminton tournament.
-
B.
RyderCupTeam
Indicates that one entity is a Ryder Cup team associated with or representing another entity (such as a country, region, or organization) in the Ryder Cup golf competition.
-
C.
teamCoachedAtTournament
Indicates that a coach was responsible for coaching a specific team at a particular tournament.
-
D.
RyderCupOpponent
Indicates that two entities are opposing teams or competitors facing each other in a Ryder Cup golf match or event.
-
E.
ThomasCupTitle
Indicates that an entity (typically a team or country) has won the Thomas Cup championship title in badminton.
- 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_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.