Triple
T8795314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa América 2019 final |
E209273
|
entity |
| Predicate | BrazilThirdGoalMinute |
P82465
|
FINISHED |
| Object | 90 |
—
|
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: 90 | Statement: [Copa América 2019 final, BrazilThirdGoalMinute, 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrazilThirdGoalMinute Context triple: [Copa América 2019 final, BrazilThirdGoalMinute, 90]
-
A.
minuteOfGoal
chosen
Indicates the specific minute in a match when a particular goal was scored.
-
B.
WorldCupThirdPlacePlayoffScore
Indicates the final score of the third-place playoff match in a FIFA World Cup tournament, showing how many goals each competing team scored.
-
C.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
D.
minuteOfOpeningGoal
Indicates the specific minute in a match when the first (opening) goal is scored.
-
E.
BrazilKeyPlayer
Indicates that an entity plays or has played a central, influential role for Brazil’s national team in its sport.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa0c6008190a5c4d87510ad5bbd |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:43 p.m.