Triple
T26319878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodez Aveyron Football |
E662076
|
entity |
| Predicate | playsInCompetitionType |
P99812
|
FINISHED |
| Object | national league system |
—
|
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: national league system | Statement: [Rodez Aveyron Football, playsInCompetitionType, national league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInCompetitionType Context triple: [Rodez Aveyron Football, playsInCompetitionType, national league system]
-
A.
associatedCompetitionType
chosen
Indicates that one entity is linked to or involved with a particular type or category of competition.
-
B.
playsInNationalCompetitions
Indicates that an entity participates as a competitor in national-level competitions or tournaments.
-
C.
includesCompetition
Indicates that one entity contains, features, or encompasses a competition as part of its scope or content.
-
D.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
-
E.
competesInAssociation
Indicates that an entity participates as a competitor within a specified association, league, or organized competitive body.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 26, 2026, 10:27 p.m.