Triple
T23598109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlético de Madrid 2017–18 UEFA Europa League campaign |
E582673
|
entity |
| Predicate | goalsByAntoineGriezmannInFinal |
P105683
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Atlético de Madrid 2017–18 UEFA Europa League campaign, goalsByAntoineGriezmannInFinal, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsByAntoineGriezmannInFinal Context triple: [Atlético de Madrid 2017–18 UEFA Europa League campaign, goalsByAntoineGriezmannInFinal, 2]
-
A.
scoredGoalsInFinalOf
chosen
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
B.
karimBenzemaGoals
Indicates the number of goals scored by Karim Benzema.
-
C.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
-
D.
minuteOfGoal_Zidane
Indicates the specific minute in which Zidane scored a particular goal.
-
E.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b091992c819085f8aa6cb91cb76a |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.