Triple
T32934420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Chong Wei |
E842487
|
entity |
| Predicate | SudirmanCupParticipation |
P175416
|
FINISHED |
| Object | Malaysia national team member |
—
|
LITERAL 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: Malaysia national team member | Statement: [Lee Chong Wei, SudirmanCupParticipation, Malaysia national team member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SudirmanCupParticipation Context triple: [Lee Chong Wei, SudirmanCupParticipation, Malaysia national team member]
-
A.
ThomasCupTitle
Indicates that an entity (typically a team or country) has won the Thomas Cup championship title in badminton.
-
B.
asianCupAppearances
Indicates the number of times an entity has participated in the AFC Asian Cup tournament.
-
C.
DavisCupFinalAppearances
Indicates the number of times an entity has reached the final round of the Davis Cup tennis competition.
-
D.
AsianChampionshipTitles
Indicates the number of championship titles an entity has won in Asian-level competitions or tournaments.
-
E.
davisCupTitle
Indicates that the subject has won a Davis Cup tennis title, specifying a championship victory in the Davis Cup competition.
- F. None of above. chosen
Provenance (4 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:20 a.m.