Triple
T22338405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asante Kotoko SC |
E552210
|
entity |
| Predicate | AfricanCupOfChampionsClubsTitle |
P147844
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Asante Kotoko SC, AfricanCupOfChampionsClubsTitle, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfricanCupOfChampionsClubsTitle Context triple: [Asante Kotoko SC, AfricanCupOfChampionsClubsTitle, 1970]
-
A.
numberOfTitlesInAfricanCupOfChampionsClubs
Indicates the number of times an entity has won titles in the African Cup of Champions Clubs competition.
-
B.
africanNationsChampionshipTitle
Indicates that an entity has won the African Nations Championship football tournament title.
-
C.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
D.
africaU17CupOfNationsTitles
Indicates the number of Africa U-17 Cup of Nations championship titles an entity has won.
-
E.
AfricaCupOfNationsRunnersUp
Indicates that the subject finished as the runner-up (second place) in an edition of the Africa Cup of Nations tournament.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.