Triple
T23449817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ahly SC |
E567746
|
entity |
| Predicate | numberOfAfricanSuperCupTitles |
P152338
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Al Ahly SC, numberOfAfricanSuperCupTitles, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAfricanSuperCupTitles Context triple: [Al Ahly SC, numberOfAfricanSuperCupTitles, 8]
-
A.
numberOfTitlesInAfricanCupOfChampionsClubs
Indicates the number of times an entity has won titles in the African Cup of Champions Clubs competition.
-
B.
AfricanCupOfChampionsClubsTitle
Indicates that an entity has won the African Cup of Champions Clubs football competition.
-
C.
africanNationsChampionshipTitle
Indicates that an entity has won the African Nations Championship football tournament title.
-
D.
africaU17CupOfNationsTitles
Indicates the number of Africa U-17 Cup of Nations championship titles an entity has won.
-
E.
africaCupOfNationsAppearances
Indicates the number of times an entity has participated in 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64c1ee081908ba3adf5ce80d6a5 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:52 p.m.