Triple
T30611987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 de Octubre Fútbol Club |
E779201
|
entity |
| Predicate | JairzinhoRole |
P153897
|
FINISHED |
| Object | Brazilian World Cup star |
—
|
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: Brazilian World Cup star | Statement: [9 de Octubre Fútbol Club, JairzinhoRole, Brazilian World Cup star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JairzinhoRole Context triple: [9 de Octubre Fútbol Club, JairzinhoRole, Brazilian World Cup star]
-
A.
BrazilKeyPlayer
Indicates that an entity plays or has played a central, influential role for Brazil’s national team in its sport.
-
B.
RonaldoRole
Indicates that an entity holds or is assigned a specific role or position in relation to Ronaldo.
-
C.
roleInSoccer
Indicates the specific function or position an entity holds within the context of playing or organizing a soccer game.
-
D.
roleInWorldCup
chosen
Indicates the specific capacity or function an entity had in the context of a World Cup tournament (e.g., player, coach, referee, host).
-
E.
Pele
Indicates that one entity is named or identified as "Pele."
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689e82bec8190acee385bf0de5345 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:26 p.m.