Triple
T23892914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | communauté de communes de Parthenay-Gâtine |
E600822
|
entity |
| Predicate | catégorieJuridique |
P76736
|
FINISHED |
| Object | EPCI |
—
|
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: EPCI | Statement: [communauté de communes de Parthenay-Gâtine, catégorieJuridique, EPCI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catégorieJuridique Context triple: [communauté de communes de Parthenay-Gâtine, catégorieJuridique, EPCI]
-
A.
juridicalCategory
chosen
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
B.
doctrineClassification
Indicates how a particular doctrine is categorized or classified within a defined system of doctrinal types.
-
C.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
D.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
E.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd050db8819090aa268ba7e5eeed |
completed | April 29, 2026, 9:19 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.