Triple
T24029037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Indian Premier League |
E595043
|
entity |
| Predicate | mostWicketsAward |
P23688
|
FINISHED |
| Object | Purple Cap |
—
|
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: Purple Cap | Statement: [2011 Indian Premier League, mostWicketsAward, Purple Cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostWicketsAward Context triple: [2011 Indian Premier League, mostWicketsAward, Purple Cap]
-
A.
mostWickets
chosen
Indicates that the subject holds the record for taking the highest number of wickets in a given cricket context or competition.
-
B.
mostWicketsTakenBy
Indicates the bowler who has taken the highest number of wickets in a given match, series, tournament, or time period.
-
C.
mostWicketsTeam
Indicates the team that has taken the highest number of wickets in a given match, series, or tournament context.
-
D.
worldCupWickets
Indicates the number of wickets a bowler has taken in Cricket World Cup matches.
-
E.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76e10fc8190afa60c618a4398ee |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.