Triple
T6606173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Carlos |
E149123
|
entity |
| Predicate | championsLeagueTitlesWonWithRealMadrid |
P15090
|
FINISHED |
| Object | 3 UEFA Champions League titles |
—
|
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: 3 UEFA Champions League titles | Statement: [Roberto Carlos, championsLeagueTitlesWonWithRealMadrid, 3 UEFA Champions League titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championsLeagueTitlesWonWithRealMadrid Context triple: [Roberto Carlos, championsLeagueTitlesWonWithRealMadrid, 3 UEFA Champions League titles]
-
A.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
B.
championsLeagueTitlesWithBarcelonaAsManager
Indicates the number of UEFA Champions League titles a person has won specifically while serving as the manager of FC Barcelona.
-
C.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
-
D.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
-
E.
UEFAChampionsLeagueTitles
chosen
Indicates the number of UEFA Champions League titles an entity (typically a football club) 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_69c687eaa7508190bb58ce2aa02039b3 |
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_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.