Triple
T23598118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlético de Madrid 2017–18 UEFA Europa League campaign |
E582673
|
entity |
| Predicate | roundOf32Opponent |
P152869
|
FINISHED |
| Object | FC København |
—
|
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: FC København | Statement: [Atlético de Madrid 2017–18 UEFA Europa League campaign, roundOf32Opponent, FC København]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundOf32Opponent Context triple: [Atlético de Madrid 2017–18 UEFA Europa League campaign, roundOf32Opponent, FC København]
-
A.
thirdRoundOpponent
Indicates that one entity is the opponent faced by another entity in the third round of a competition or tournament.
-
B.
thirdRoundReplayOpponent
Indicates that one entity is the opponent faced by another entity in a replay match of the third round of a competition or tournament.
-
C.
facedOpponent
Indicates that one entity directly confronted or competed against another as an opponent in a contest, conflict, or challenge.
-
D.
fourthRoundOpponent
Indicates that one entity is the opponent faced by another entity in the fourth round of a competition or tournament.
-
E.
battleOpponent
Indicates that two entities are engaged in or designated as opponents in a battle or combat scenario.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.