Triple
T24707201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figo |
E611924
|
entity |
| Predicate | UEFAChampionsLeagueWinnerWith |
P80516
|
FINISHED |
| Object | Real Madrid CF |
—
|
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: Real Madrid CF | Statement: [Figo, UEFAChampionsLeagueWinnerWith, Real Madrid CF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAChampionsLeagueWinnerWith Context triple: [Figo, UEFAChampionsLeagueWinnerWith, Real Madrid CF]
-
A.
wonChampionsLeagueWith
chosen
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.
europeanChampionIn
Indicates that an entity has won a European championship title in a specified sport, event, or competition.
-
C.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
D.
EuropeanChampionYear
Indicates the year in which an entity achieved the status of European champion in a given competition or discipline.
-
E.
EuropeanCupWinnerWith
Indicates that one entity is the winner of a European Cup (or similar continental competition) in association with, or while being part of, the other entity.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.