Triple
T28322880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flick |
E717324
|
entity |
| Predicate | clubWorldTitleWonAsManager |
P164270
|
FINISHED |
| Object | FIFA Club World Cup |
—
|
NE NERFINISHED |
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: FIFA Club World Cup | Statement: [Flick, clubWorldTitleWonAsManager, FIFA Club World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubWorldTitleWonAsManager Context triple: [Flick, clubWorldTitleWonAsManager, FIFA Club World Cup]
-
A.
leagueChampionshipWonAsManager
Indicates that the person has won a league championship in the role of a manager for the specified team or organization.
-
B.
continentalTitleWonAsManager
Indicates that the person has won a continental-level competition title in the role of a manager.
-
C.
UEFAChampionsLeagueTitlesAsManager
Indicates the number of UEFA Champions League titles a person has won specifically in the role of team manager.
-
D.
domesticSupercupWonAsManager
Indicates that the person has won a domestic super cup competition in the role of a team manager.
-
E.
hasWonDomesticCupsAsManager
Indicates that a person, in their role as a manager, has achieved victories in domestic cup competitions.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6492c10d08190a8dbfdb678697af2 |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 28, 2026, 12:26 a.m.