Triple
T13436211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niçois (dialecte) |
E320234
|
entity |
| Predicate | possède |
P13854
|
FINISHED |
| Object | lexique spécifique par rapport au français standard |
—
|
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: lexique spécifique par rapport au français standard | Statement: [Niçois (dialecte), possède, lexique spécifique par rapport au français standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possède Context triple: [Niçois (dialecte), possède, lexique spécifique par rapport au français standard]
-
A.
possessedBy
Indicates that something is owned, controlled, or held by a particular entity.
-
B.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
C.
possessedItem
Indicates that one entity owns, holds, or has control over another entity as a possession.
-
D.
occupies
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
-
E.
have
Indicates that one entity possesses, owns, or contains another entity or attribute.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.