Triple
T3991355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivaro-Alpine |
E86995
|
entity |
| Predicate | hasStatusInFrance |
P27128
|
FINISHED |
| Object | recognized as a regional language of France |
—
|
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: recognized as a regional language of France | Statement: [Vivaro-Alpine, hasStatusInFrance, recognized as a regional language of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusInFrance Context triple: [Vivaro-Alpine, hasStatusInFrance, recognized as a regional language of France]
-
A.
statusInFrance
chosen
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
B.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
-
C.
hasFrenchSector
Indicates that an entity includes, controls, or is associated with a sector or area designated as French.
-
D.
usesPrimaryFrenchGateway
Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
-
E.
countrySpecificStatus
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.