Triple
T6606172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Carlos |
E149123
|
entity |
| Predicate | leagueTitlesWonWithRealMadrid |
P71999
|
FINISHED |
| Object | 4 La Liga 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: 4 La Liga titles | Statement: [Roberto Carlos, leagueTitlesWonWithRealMadrid, 4 La Liga titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTitlesWonWithRealMadrid Context triple: [Roberto Carlos, leagueTitlesWonWithRealMadrid, 4 La Liga titles]
-
A.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
B.
SupercopaDeEspañaTitles
Indicates the number of Supercopa de España titles an entity has won.
-
C.
leagueTitlesWithBarcelonaAsManager
Indicates the number of league titles a person has won while serving as the manager of Barcelona.
-
D.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
-
E.
leagueTitlesWonWithManchesterUnited
Indicates the number of league titles an entity has won while playing for or managing Manchester United.
- 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_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. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:57 p.m.