Triple
T25096554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil national under-17 football team |
E628603
|
entity |
| Predicate | southAmericanU17ChampionshipTitles |
P157642
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Brazil national under-17 football team, southAmericanU17ChampionshipTitles, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: southAmericanU17ChampionshipTitles Context triple: [Brazil national under-17 football team, southAmericanU17ChampionshipTitles, 1995]
-
A.
southAmericanU17ChampionshipTitles
chosen
Indicates the number of South American Under-17 Championship titles that an entity (typically a national team) has won.
-
B.
southAmericanU20ChampionshipTitles
Indicates the number of South American Under-20 Championship titles an entity has won.
-
C.
southAmericanU20ChampionshipTitleYear
Indicates the year in which an entity won the South American Under-20 Championship title.
-
D.
concacafU17ChampionshipTitles
Indicates the number of CONCACAF Under-17 Championship titles an entity has won.
-
E.
fifaU17WorldCupTitles
Indicates the number of FIFA U-17 World Cup championship titles an entity has won.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b9651481908d4d7584717f5c59 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:25 a.m.