Triple
T34001058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Prat |
E871818
|
entity |
| Predicate | representativeTeamDebut |
P110977
|
FINISHED |
| Object | France national rugby union team |
—
|
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: France national rugby union team | Statement: [Jean Prat, representativeTeamDebut, France national rugby union team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representativeTeamDebut Context triple: [Jean Prat, representativeTeamDebut, France national rugby union team]
-
A.
debutingTeam
chosen
Indicates that an entity is the team for which another entity (such as a player or work) is making its first official appearance or debut.
-
B.
internationalTeamDebutYear
Indicates the year in which an entity (typically an athlete) first appeared in competition for an international team.
-
C.
nationalTeamDebutDate
Indicates the date on which an individual first officially appeared in competition for their national team.
-
D.
teamDebutLeague
Indicates the league in which a team made its first official appearance or debut.
-
E.
nationalTeamDebutOpponent
Indicates the opposing team against which an entity (typically an athlete) made their debut appearance for a national 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:50 a.m.