Triple
T28175800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina women's national futsal team |
E715585
|
entity |
| Predicate | conmebolAffiliation |
P43967
|
FINISHED |
| Object | CONMEBOL |
—
|
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: CONMEBOL | Statement: [Argentina women's national futsal team, conmebolAffiliation, CONMEBOL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conmebolAffiliation Context triple: [Argentina women's national futsal team, conmebolAffiliation, CONMEBOL]
-
A.
otherConfederation
Indicates that an entity is associated with a different confederation than another referenced entity, specifying an alternative confederative affiliation or membership.
-
B.
CONMEBOLaffiliationYear
Indicates the year in which an entity became affiliated with CONMEBOL.
-
C.
nationalTeamConfederation
chosen
Indicates the confederation or regional governing body under which a national team is organized or competes.
-
D.
associatedConfederation
Indicates a relationship where an entity is linked to, belongs to, or is formally connected with a specific confederation.
-
E.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6423a20348190ad837c2991aaaf76 |
completed | May 2, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:16 p.m.