Triple
T12371795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria under-17 national football team |
E295018
|
entity |
| Predicate | fifaU17WorldCupMostSuccessfulTeam |
P73681
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nigeria under-17 national football team, fifaU17WorldCupMostSuccessfulTeam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaU17WorldCupMostSuccessfulTeam Context triple: [Nigeria under-17 national football team, fifaU17WorldCupMostSuccessfulTeam, true]
-
A.
fifaU17WorldCupTitles
chosen
Indicates the number of FIFA U-17 World Cup championship titles an entity has won.
-
B.
fifaU17WorldCupBestResult
Indicates the best performance or highest finishing position a team has achieved in the FIFA U-17 World Cup tournament.
-
C.
fifaU17WorldCupWinningYear
Indicates the specific year in which a given team won the FIFA U-17 World Cup.
-
D.
fifaU20WWC_bestResult
Indicates the best performance or highest stage a team has achieved in the FIFA U-20 Women's World Cup tournament.
-
E.
FIFAU20WorldCupTitles
Indicates the number of FIFA U-20 World Cup championship titles an entity has won.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.