Triple

T28159132
Position Surface form Disambiguated ID Type / Status
Subject Augusta, West Virginia E714839 entity
Predicate hasLocalBusinessType P68868 FINISHED
Object convenience stores 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: convenience stores | Statement: [Augusta, West Virginia, hasLocalBusinessType, convenience stores]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalBusinessType
Context triple: [Augusta, West Virginia, hasLocalBusinessType, convenience stores]
  • A. hasBusinessTypeAlong
    Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
  • B. hasTypeOfBusinesses chosen
    Indicates that an entity is associated with or contains specific categories or kinds of businesses.
  • C. eligibleBusinessType
    Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
  • D. isBusinessOf
    Indicates that one entity is the business, commercial concern, or enterprise associated with, owned by, or operated by another entity.
  • E. businessLocationType
    Indicates the type or category of location where a business operates or is situated.
  • 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_69efd6b156448190bfa15958208395c3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: April 27, 2026, 10:05 p.m.