Triple
T5494945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national football team |
E144188
|
entity |
| Predicate | joinedCONMEBOL |
P43967
|
FINISHED |
| Object | 1916 |
—
|
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: 1916 | Statement: [Argentina national football team, joinedCONMEBOL, 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedCONMEBOL Context triple: [Argentina national football team, joinedCONMEBOL, 1916]
-
A.
nationalTeamConfederation
chosen
Indicates the confederation or regional governing body under which a national team is organized or competes.
-
B.
playedInCopaAmerica
Indicates that an entity (typically a player or team) participated in at least one edition of the Copa América football tournament.
-
C.
numberOfQualifiedTeamsFromSouthAmerica
Indicates the count of teams from South America that meet the specified qualification criteria.
-
D.
losingTeamConfederation
Indicates the continental confederation to which the team that lost the match or competition belongs.
-
E.
associatedWithNationalTeam
Indicates that an entity has a formal connection or involvement with a specific national team, such as playing for, coaching, or otherwise being officially linked to it.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f08c2a4819093e772a1497c7ecc |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:31 p.m.