Triple
T12662941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 UEFA Champions League Final |
E302468
|
entity |
| Predicate | ChelseaFirstEuropeanCupTitle |
P106081
|
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: [2012 UEFA Champions League Final, ChelseaFirstEuropeanCupTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChelseaFirstEuropeanCupTitle Context triple: [2012 UEFA Champions League Final, ChelseaFirstEuropeanCupTitle, true]
-
A.
firstBritishEuropeanCupWinner
Indicates that the subject is the first British club to win the European Cup (now UEFA Champions League).
-
B.
CAFChampionsLeagueTitle
Indicates that an entity has won the CAF Champions League title.
-
C.
firstEnglishClubManagerToWin
Indicates that the subject is the first manager of an English football club ever to achieve a particular victory or title.
-
D.
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.
-
E.
europeanCupWinningSeason
Indicates a season in which a team won the European Cup (now UEFA Champions League).
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:19 p.m.