Triple
T29748454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Championnat National 2 |
E752824
|
entity |
| Predicate | typeOfClubs |
P18795
|
FINISHED |
| Object | semi-professional clubs |
—
|
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: semi-professional clubs | Statement: [Championnat National 2, typeOfClubs, semi-professional clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfClubs Context triple: [Championnat National 2, typeOfClubs, semi-professional clubs]
-
A.
typeOfNightclub
Indicates a classification relationship where one entity specifies the particular kind or category of nightclub that another entity is.
-
B.
closureOfClubs
Indicates that a situation or event results in the shutting down or discontinuation of operations of one or more clubs.
-
C.
clubTypeInvolved
Indicates that a specific type or category of club is involved or participates in the referenced event, activity, or relationship.
-
D.
memberClubsType
chosen
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
E.
countryClubType
Indicates that one entity is classified as a specific type or category of country club in relation to another entity.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: April 28, 2026, 7:52 p.m.