Triple
T23598051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1997–98 with Inter Milan |
E582671
|
entity |
| Predicate | RonaldoNationality |
P152865
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [UEFA Cup 1997–98 with Inter Milan, RonaldoNationality, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RonaldoNationality Context triple: [UEFA Cup 1997–98 with Inter Milan, RonaldoNationality, Brazil]
-
A.
numberOfGoalsByRonaldo
Indicates the total count of goals scored by Ronaldo in the specified context.
-
B.
homeCountryFIFA_code
Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
-
C.
captainOfBrazil
Indicates that a person serves as the captain (team leader) of the Brazil national team.
-
D.
BrazilKeyPlayer
Indicates that an entity plays or has played a central, influential role for Brazil’s national team in its sport.
-
E.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b091992c819085f8aa6cb91cb76a |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.