Triple
T1622932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pep Guardiola |
E35072
|
entity |
| Predicate | hasWonDomesticCupsAsManager |
P31074
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pep Guardiola, hasWonDomesticCupsAsManager, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonDomesticCupsAsManager Context triple: [Pep Guardiola, hasWonDomesticCupsAsManager, true]
-
A.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
B.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
-
C.
CupWinnersCupTitles
Indicates the number of Cup Winners' Cup titles an entity has won.
-
D.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
leagueChampionships
Indicates the number of league championship titles 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99ca48c888190876500df1a885c11 |
completed | March 5, 2026, 3:09 p.m. |
Created at: March 4, 2026, 7:28 p.m.