Triple
T5871780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ahly SC |
E130532
|
entity |
| Predicate | numberOfTitlesInAfricanCupOfChampionsClubs |
P67324
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Al Ahly SC, numberOfTitlesInAfricanCupOfChampionsClubs, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTitlesInAfricanCupOfChampionsClubs Context triple: [Al Ahly SC, numberOfTitlesInAfricanCupOfChampionsClubs, 4]
-
A.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
B.
numberOfQualifiedTeamsFromAfrica
Indicates the count of teams from Africa that meet the specified qualification criteria.
-
C.
afconTitles
Indicates the number of Africa Cup of Nations (AFCON) championship titles an entity has won.
-
D.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
-
E.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:56 p.m.