Triple
T34762722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raí Souza Vieira de Oliveira |
E1002109
|
entity |
| Predicate | titlesWonWithTeam |
P173854
|
FINISHED |
| Object | Copa Libertadores with São Paulo FC |
—
|
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: Copa Libertadores with São Paulo FC | Statement: [Raí Souza Vieira de Oliveira, titlesWonWithTeam, Copa Libertadores with São Paulo FC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesWonWithTeam Context triple: [Raí Souza Vieira de Oliveira, titlesWonWithTeam, Copa Libertadores with São Paulo FC]
-
A.
teamTitlesWonWith
chosen
Indicates the number or specific titles a team has won in association with a particular entity (such as a player, coach, or organization).
-
B.
teamChampionshipsWon
Indicates the number of championship titles that a team has won.
-
C.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
D.
teamWithMultipleTitles
Indicates that a team has won more than one title or championship within the relevant competition or context.
-
E.
teamWonChampionship
Indicates that a particular team has secured victory in a championship competition.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 3, 2026, 3:59 p.m.