Triple

T12744015
Position Surface form Disambiguated ID Type / Status
Subject Aubenas E304556 entity
Predicate regionSpecialtyRole P21480 FINISHED
Object market center for local agricultural products 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: market center for local agricultural products | Statement: [Aubenas, regionSpecialtyRole, market center for local agricultural products]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionSpecialtyRole
Context triple: [Aubenas, regionSpecialtyRole, market center for local agricultural products]
  • A. positionSpecialization
    Indicates that one position is a more specialized or focused variant of another, broader position.
  • B. regionSpecialization chosen
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • C. specializationRegion
    Indicates that something is specialized, adapted, or specifically applicable to a particular geographic or spatial region.
  • D. specialRole
    Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
  • E. regionOfPractice
    Indicates the geographic area or jurisdiction in which an entity regularly conducts its professional activities or services.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96406e97c8190b79081039847115c completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:26 p.m.