Triple
T24623628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 UEFA Champions League Final |
E609477
|
entity |
| Predicate | winningClubFirstChampionsLeagueTitle |
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, winningClubFirstChampionsLeagueTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningClubFirstChampionsLeagueTitle Context triple: [2023 UEFA Champions League Final, winningClubFirstChampionsLeagueTitle, true]
-
A.
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.
-
B.
winnerFirstEuropeanCupTitle
chosen
Indicates that the subject is the team or individual who won their first European Cup title in the referenced competition or season.
-
C.
CAFChampionsLeagueTitle
Indicates that an entity has won the CAF Champions League title.
-
D.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
E.
ChelseaFirstEuropeanCupTitle
Indicates that the event marks Chelsea’s first-ever European Cup title victory.
- 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.