Triple
T9499153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya national football team |
E229089
|
entity |
| Predicate | bestResultAfricaCupOfNations |
P86274
|
FINISHED |
| Object | quarter-finals |
—
|
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: quarter-finals | Statement: [Libya national football team, bestResultAfricaCupOfNations, quarter-finals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestResultAfricaCupOfNations Context triple: [Libya national football team, bestResultAfricaCupOfNations, quarter-finals]
-
A.
africaCupOfNationsBestResult
chosen
Indicates the best performance or highest achievement a team or participant has attained in the Africa Cup of Nations tournament.
-
B.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
C.
bestConfederationsCupResult
Indicates the highest achievement or best performance an entity has attained in the FIFA Confederations Cup competition.
-
D.
bestResultFifaU17WWC
Indicates that the object is the best performance or highest achievement an entity has attained in the FIFA U-17 Women's World Cup.
-
E.
bestResultFIFA U-20 World Cup
Indicates the highest placement or achievement an entity has attained in any edition of the FIFA U-20 World Cup.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.