Triple
T6648480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 UEFA Champions League Final |
E150759
|
entity |
| Predicate | editionNumberAsChampionsLeague |
P35011
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [2002 UEFA Champions League Final, editionNumberAsChampionsLeague, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionNumberAsChampionsLeague Context triple: [2002 UEFA Champions League Final, editionNumberAsChampionsLeague, 10]
-
A.
editionOfEuropeanCupFinal
Indicates that one entity is a specific numbered or particular edition of the European Cup final associated with another entity.
-
B.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
C.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
D.
editionOfCompetition
chosen
Indicates that one entity is a specific edition or iteration of a recurring competition or tournament.
-
E.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles an entity has won.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.