Triple
T16960828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa América 1953 matches |
E411421
|
entity |
| Predicate | finalScoreExample |
P2625
|
FINISHED |
| Object | Paraguay 3–2 Brazil |
—
|
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: Paraguay 3–2 Brazil | Statement: [Copa América 1953 matches, finalScoreExample, Paraguay 3–2 Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalScoreExample Context triple: [Copa América 1953 matches, finalScoreExample, Paraguay 3–2 Brazil]
-
A.
finalScore
chosen
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
finalScoreWinner
Indicates that the referenced entity is the winner as determined by the final score of a game, match, or competition.
-
C.
finalOfficialMatchScore
Indicates the conclusive, authoritative score assigned to a match after all reviews, adjustments, or validations are completed.
-
D.
finalScoreNote
Indicates a note or comment specifically associated with the final score or outcome of an evaluation, game, or assessment.
-
E.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0209a9081909d9c62456bc16e14 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.