Triple
T38058318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Sudamericana 2020 with Defensa y Justicia |
E950264
|
entity |
| Predicate | goalsInFinalBy |
P105683
|
FINISHED |
| Object | Adonis Frías |
—
|
NE NERFINISHED |
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: Adonis Frías | Statement: [Copa Sudamericana 2020 with Defensa y Justicia, goalsInFinalBy, Adonis Frías]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsInFinalBy Context triple: [Copa Sudamericana 2020 with Defensa y Justicia, goalsInFinalBy, Adonis Frías]
-
A.
scoredGoalsInFinalOf
chosen
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
B.
decisiveGoalScorerInFinal
Indicates that an entity scored a crucial, match-deciding goal in the final of a competition or tournament.
-
C.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
D.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
-
E.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:21 p.m.