Triple
T7097602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unai Emery |
E165370
|
entity |
| Predicate | numberOfEuropaLeagueTitlesAsManager |
P24800
|
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: [Unai Emery, numberOfEuropaLeagueTitlesAsManager, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEuropaLeagueTitlesAsManager Context triple: [Unai Emery, numberOfEuropaLeagueTitlesAsManager, 4]
-
A.
UEFAChampionsLeagueTitlesAsManager
Indicates the number of UEFA Champions League titles a person has won specifically in the role of team manager.
-
B.
leagueChampionshipWonAsManager
Indicates that the person has won a league championship in the role of a manager for the specified team or organization.
-
C.
numberOfUEFAEuropaConferenceLeagueTitles
Indicates the number of UEFA Europa Conference League titles that an entity has won.
-
D.
UEFAEuropaLeagueTitles
chosen
Indicates the number of UEFA Europa League championship titles an entity has won.
-
E.
wonEuropeanSuperCupAsManager
Indicates that a person, in their role as a football manager, has led a team to win the UEFA European Super Cup.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5561dd08190be6b784754a0c1bc |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.