Triple

T10134305
Position Surface form Disambiguated ID Type / Status
Subject Ruston micropolitan area E226816 entity
Predicate hasPrincipalFunction P88 FINISHED
Object regional education center 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: regional education center | Statement: [Ruston micropolitan area, hasPrincipalFunction, regional education center]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrincipalFunction
Context triple: [Ruston micropolitan area, hasPrincipalFunction, regional education center]
  • A. hasPrimaryFunction chosen
    Indicates that one entity serves as the main or principal function or role of another entity.
  • B. hasAccessFunction
    Indicates that one entity is associated with a function or mechanism that enables access to another entity or resource.
  • C. hasSecurityFunction
    Indicates that an entity performs, provides, or is responsible for a security-related role, protection mechanism, or safeguarding function for another entity or system.
  • D. isPrincipalAssociationOf
    Indicates that one entity serves as the primary or main associated counterpart of another entity within a given context or relationship.
  • E. hasPrimary
    Indicates that one entity is designated as the main or most important instance (the primary) 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33808048190b6023a6cd83fc179 completed April 2, 2026, 2:23 a.m.
PD Predicate disambiguation batch_69cd4ba4f5d88190ba68e63be10b08c7 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:06 p.m.