Triple
T20851534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Zouma |
E513374
|
entity |
| Predicate | majorTournamentSquad |
P19122
|
FINISHED |
| Object | France national team 2018–2020 UEFA Nations League campaigns |
—
|
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: France national team 2018–2020 UEFA Nations League campaigns | Statement: [Kurt Zouma, majorTournamentSquad, France national team 2018–2020 UEFA Nations League campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTournamentSquad Context triple: [Kurt Zouma, majorTournamentSquad, France national team 2018–2020 UEFA Nations League campaigns]
-
A.
majorTeam
Indicates that one entity is the primary or most significant team associated with another entity (such as a person, event, or organization).
-
B.
managerTeam1
Indicates that an entity serves as the manager or leader of a specific team (team1) within an organization.
-
C.
tournamentTeams
Indicates that certain teams are participants in a particular tournament.
-
D.
menTeamPlaysIn
Indicates that a men's team participates or competes in a particular league, division, or competition.
-
E.
memberTeam
chosen
Indicates that an entity belongs to or is part of a specific team.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a3d8808190b8efce77ae36850e |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.