Triple
T4573806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 Cricket World Cup |
E123095
|
entity |
| Predicate | mostWicketsValue |
P23688
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [1999 Cricket World Cup, mostWicketsValue, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostWicketsValue Context triple: [1999 Cricket World Cup, mostWicketsValue, 20]
-
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.
captainODI
Indicates that the subject serves as the captain of the object’s team in One Day International (ODI) cricket matches.
-
D.
winnerBats
Indicates that the entity identified as the winner performs the action of batting.
-
E.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.