Triple
T8933916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Leone national football team |
E212726
|
entity |
| Predicate | africaCupOfNationsBestResult |
P86274
|
FINISHED |
| Object | group stage |
—
|
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: group stage | Statement: [Sierra Leone national football team, africaCupOfNationsBestResult, group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: africaCupOfNationsBestResult Context triple: [Sierra Leone national football team, africaCupOfNationsBestResult, group stage]
-
A.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
B.
goldCupBestResult
Indicates the best performance or highest achievement an entity has attained in a Gold Cup competition.
-
C.
fifaU17WorldCupBestResult
Indicates the best performance or highest finishing position a team has achieved in the FIFA U-17 World Cup tournament.
-
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.
numberOfTitlesInAfricanCupOfChampionsClubs
Indicates the number of times an entity has won titles in the African Cup of Champions Clubs competition.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668fa87c8190bfeda820368b89e4 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.