Triple
T1079449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 Cricket World Cup |
E23913
|
entity |
| Predicate | finalScoreRunnerUp |
P2625
|
FINISHED |
| Object | 234 all out in 39.2 overs |
—
|
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: 234 all out in 39.2 overs | Statement: [2003 Cricket World Cup, finalScoreRunnerUp, 234 all out in 39.2 overs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalScoreRunnerUp Context triple: [2003 Cricket World Cup, finalScoreRunnerUp, 234 all out in 39.2 overs]
-
A.
finalScore
chosen
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
C.
finalScoreWinner
Indicates that the referenced entity is the winner as determined by the final score of a game, match, or competition.
-
D.
secondRoundWinner
Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
-
E.
runnerUpLeague
Indicates that an entity finished in second place in a league 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94509d08190964509ea4a2d7912 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.