Triple
T184026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Club World Cup |
E3939
|
entity |
| Predicate | tieBreaker |
P6631
|
FINISHED |
| Object | penalty shoot-out |
—
|
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: penalty shoot-out | Statement: [FIFA Club World Cup, tieBreaker, penalty shoot-out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieBreaker Context triple: [FIFA Club World Cup, tieBreaker, penalty shoot-out]
-
A.
tiebreaker
chosen
Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
-
B.
loserElimination
Indicates that the entity identified as the loser in a competition, game, or contest is removed or disqualified from further participation.
-
C.
winnerPlaysIn
Indicates that the entity identified as the winner of a contest or match participates in a subsequent game, round, or event.
-
D.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
E.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.