Triple
T5871878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ahly SC |
E130534
|
entity |
| Predicate | continentalTitlesRecord |
P56523
|
FINISHED |
| Object | record number of CAF Champions League titles |
—
|
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: record number of CAF Champions League titles | Statement: [Al Ahly SC, continentalTitlesRecord, record number of CAF Champions League titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentalTitlesRecord Context triple: [Al Ahly SC, continentalTitlesRecord, record number of CAF Champions League titles]
-
A.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
B.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
C.
winnerTitleRecord
Indicates that a record documents the title or achievement associated with an entity that has won a particular contest, award, or competition.
-
D.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
E.
numberOfTitlesHeldByRecordHolders
chosen
Indicates the total count of titles held by the entities that are recognized as record holders.
- 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_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. |
Created at: March 22, 2026, 3:56 p.m.