Triple
T3561821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maccabi Tel Aviv F.C. |
E75354
|
entity |
| Predicate | isMostSuccessfulClubIn |
P2706
|
FINISHED |
| Object | Israeli football |
—
|
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: Israeli football | Statement: [Maccabi Tel Aviv F.C., isMostSuccessfulClubIn, Israeli football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostSuccessfulClubIn Context triple: [Maccabi Tel Aviv F.C., isMostSuccessfulClubIn, Israeli football]
-
A.
mostSuccessfulClub
chosen
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
-
B.
isOneOfMostSuccessfulClubsIn
Indicates that a club ranks among the most successful clubs within a specified group, region, or competition context.
-
C.
numberOfTitlesOfMostSuccessfulClub
Indicates the total count of titles won by the club that has achieved the highest number of titles among all clubs in the given context.
-
D.
isOneOfMostSuccessfulTeamsIn
Indicates that a team ranks among the most successful teams within a specified group, context, or location.
-
E.
isOneOfMostPopularClubsIn
Indicates that a club ranks among the most popular clubs within a specified place or context.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08bdde88190915d2f6ddf26e00e |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.