Triple
T23011824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Club do Recife |
E572924
|
entity |
| Predicate | stateChampionshipTitles |
P34079
|
FINISHED |
| Object | more than 40 Campeonato Pernambucano 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: more than 40 Campeonato Pernambucano titles | Statement: [Sport Club do Recife, stateChampionshipTitles, more than 40 Campeonato Pernambucano titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateChampionshipTitles Context triple: [Sport Club do Recife, stateChampionshipTitles, more than 40 Campeonato Pernambucano titles]
-
A.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
B.
stateChampionship
chosen
Indicates that an entity has won or holds a championship title at the state level.
-
C.
arenaCupTitles
Indicates the number of Arena Cup championship titles an entity has won.
-
D.
challengeCupTitles
Indicates the number of Challenge Cup titles that an entity has won.
-
E.
seriesChampionships
Indicates that an entity has won one or more championships in a particular series or league.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e202a481908d7a2f00a12229a0 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.