Triple
T24390310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruzeiro Esporte Clube |
E614869
|
entity |
| Predicate | copaDoBrasilTitles |
P156023
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Cruzeiro Esporte Clube, copaDoBrasilTitles, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copaDoBrasilTitles Context triple: [Cruzeiro Esporte Clube, copaDoBrasilTitles, 6]
-
A.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
-
B.
CopaLibertadoresTitle
Indicates that an entity has won the Copa Libertadores football (soccer) championship title.
-
C.
BrazilWorldCupTitlesBeforeMatch
Indicates the number of FIFA World Cup titles Brazil had already won prior to the referenced match.
-
D.
goalsByBrazil
Indicates the number of goals that Brazil scored in a given match or context.
-
E.
sharedMostCopaAmericaTitlesWith
Indicates that two entities hold the highest and equal number of Copa América titles compared to all other entities.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29457a0d08190ad19b55625d7a437 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.