Triple
T24623627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 UEFA Champions League Final |
E609477
|
entity |
| Predicate | winningClubFirstEuropeanCupTitle |
P144486
|
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: [2023 UEFA Champions League Final, winningClubFirstEuropeanCupTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningClubFirstEuropeanCupTitle Context triple: [2023 UEFA Champions League Final, winningClubFirstEuropeanCupTitle, true]
-
A.
winnerFirstEuropeanCupTitle
chosen
Indicates that the subject is the team or individual who won their first European Cup title in the referenced competition or season.
-
B.
ChelseaFirstEuropeanCupTitle
Indicates that the event marks Chelsea’s first-ever European Cup title victory.
-
C.
firstBritishEuropeanCupWinner
Indicates that the subject is the first British club to win the European Cup (now UEFA Champions League).
-
D.
wonEuropeanCupWinnersCup
Indicates that the subject has won the European Cup Winners' Cup football competition.
-
E.
wonChampionsLeagueWith
Indicates that an entity achieved victory in the UEFA Champions League while being a member of or associated with a specified team or organization.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.