Triple
T32092587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Argentina |
E819634
|
entity |
| Predicate | FranceTeamNickname |
P6622
|
FINISHED |
| Object | Les Bleus |
—
|
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: Les Bleus | Statement: [France vs Argentina, FranceTeamNickname, Les Bleus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FranceTeamNickname Context triple: [France vs Argentina, FranceTeamNickname, Les Bleus]
-
A.
governingBodyOfFranceTeam
Indicates that the subject is the organization that serves as the official governing body for the France team.
-
B.
notableTeamNickname
chosen
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
C.
NLTeam
Indicates that there is a team relationship or membership association between entities, typically linking individuals to a specific team.
-
D.
teamNicknamedAfter
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
-
E.
team1Franchise
Indicates that an entity serves as or represents the franchise associated with the first team in a given sports or competitive context.
- 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_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:25 a.m.