Triple
T480581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria national football team |
E9157
|
entity |
| Predicate | wonAfricaCupOfNations |
P14833
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Nigeria national football team, wonAfricaCupOfNations, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonAfricaCupOfNations Context triple: [Nigeria national football team, wonAfricaCupOfNations, 1980]
-
A.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
B.
isOldestOngoingNationalSoccerTournamentIn
Indicates that a soccer tournament is the oldest continuously held national-level soccer competition within the specified country or region.
-
C.
conferenceChampionAFC
Indicates that a team has won the American Football Conference (AFC) championship for a given season.
-
D.
conferenceChampionTrophy
Indicates that an entity has won and been awarded the championship trophy for a specific conference.
-
E.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef4030608190b39852b347a505ca |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.