Triple
T4573613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day International |
E123091
|
entity |
| Predicate | numberOfOffFieldUmpires |
P57809
|
FINISHED |
| Object | 1 third umpire |
—
|
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: 1 third umpire | Statement: [One Day International, numberOfOffFieldUmpires, 1 third umpire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOffFieldUmpires Context triple: [One Day International, numberOfOffFieldUmpires, 1 third umpire]
-
A.
numberOfMLBGamesUmpired
Indicates the total count of Major League Baseball games that a given umpire has officiated.
-
B.
umpireCrewSize
Indicates the number of umpires assigned to work together as a crew for a particular game or event.
-
C.
umpiresProvidedBy
Indicates that one entity supplies or assigns umpires to officiate for another entity or event.
-
D.
umpires
Indicates that an entity serves as the umpire overseeing, judging, or officiating an event, activity, or interaction involving another entity.
-
E.
usesNumberOfPlayersOnFieldPerTeam
Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
- 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_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. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.