Triple
T25207034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | oversBowled |
P159729
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [James Faulkner took 3 wickets for 36 runs, oversBowled, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversBowled Context triple: [James Faulkner took 3 wickets for 36 runs, oversBowled, 9]
-
A.
team2OversFaced
Indicates the total number of overs that the second team has faced while batting in a cricket match.
-
B.
wicketsTaken
Indicates the number of wickets a bowler has successfully taken (dismissed batters) in a cricket match or over a specified period.
-
C.
team1OversFaced
Indicates the total number of overs that the first team has faced while batting in a cricket match.
-
D.
ballsAndStrikes
Indicates the relationship between a pitch and how it is judged in baseball as either a ball or a strike.
-
E.
ballsPerOverEquivalent
Indicates the number of balls bowled that is equivalent to one standard over, establishing a conversion between deliveries and overs.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 12:52 p.m.