Triple
T22688971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waqar Younis |
E560995
|
entity |
| Predicate | bestBowlingInInningsODIs |
P57816
|
FINISHED |
| Object | 7/36 |
—
|
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: 7/36 | Statement: [Waqar Younis, bestBowlingInInningsODIs, 7/36]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestBowlingInInningsODIs Context triple: [Waqar Younis, bestBowlingInInningsODIs, 7/36]
-
A.
bestBowlingInInningsODI
chosen
Indicates the record or achievement of a bowler delivering their most effective single-innings bowling performance in a One Day International (ODI) match.
-
B.
bestBowlingInTests
Indicates the record or performance representing the most outstanding bowling figures achieved in Test cricket.
-
C.
highestOdiScore
Indicates that the subject has achieved the highest individual ODI (One Day International) cricket score among the compared entities.
-
D.
lastOverBowlerForIndia
Indicates that the referenced player was the most recent bowler to deliver an over for the India cricket team in that match or innings.
-
E.
mostWickets
Indicates that the subject holds the record for taking the highest number of wickets in a given cricket context or competition.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.