Triple
T28258659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina women's national football team |
E712520
|
entity |
| Predicate | copaAmericaFemeninaBestResult |
P149290
|
FINISHED |
| Object | champions |
—
|
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: champions | Statement: [Argentina women's national football team, copaAmericaFemeninaBestResult, champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copaAmericaFemeninaBestResult Context triple: [Argentina women's national football team, copaAmericaFemeninaBestResult, champions]
-
A.
bestCopaAmericaResult
chosen
Indicates the highest achievement or furthest stage a team has reached in any edition of the Copa América tournament.
-
B.
bestCopaAmericaResultYear
Indicates the year in which an entity achieved its best (highest) result in the Copa América tournament.
-
C.
goldCupBestResult
Indicates the best performance or highest achievement an entity has attained in a Gold Cup competition.
-
D.
wonCopaInteramericana
Indicates that one entity (typically a football club) has won the Copa Interamericana competition.
-
E.
FIFAWomen'sWorldCupAllTimeTopScorer
Indicates that the subject holds the record for scoring the most goals in the history of the FIFA Women's World Cup.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:10 p.m.