Triple
T5525778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1987 Cricket World Cup |
E144917
|
entity |
| Predicate | topWicketTakerWickets |
P23688
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [1987 Cricket World Cup, topWicketTakerWickets, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topWicketTakerWickets Context triple: [1987 Cricket World Cup, topWicketTakerWickets, 18]
-
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.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
-
D.
captainODI
Indicates that the subject serves as the captain of the object’s team in One Day International (ODI) cricket matches.
-
E.
t20WorldCupBestPerformance
Indicates the best performance or highest stage reached by an entity in the T20 World Cup tournament.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.