Triple
T32092557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Argentina |
E819634
|
entity |
| Predicate | continentOfArgentinaTeam |
P125918
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [France vs Argentina, continentOfArgentinaTeam, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfArgentinaTeam Context triple: [France vs Argentina, continentOfArgentinaTeam, South America]
-
A.
ArgentinaConfederation
Indicates a relationship in which an entity is associated with, belongs to, or is part of the Argentina Confederation.
-
B.
continentOfNationalTeam
chosen
Indicates the continent on which a given national team’s home country is located.
-
C.
continentOfWinningTeam
Indicates the continent on which the team that won a given event or competition is located.
-
D.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
E.
awayTeamContinent
Indicates that the away team is associated with, or originates from, a specific continent.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 12:25 a.m.