Triple

T21145044
Position Surface form Disambiguated ID Type / Status
Subject Georgia Corporations Division E521029 entity
Predicate typeOfBusinessEntitiesHandled P68868 FINISHED
Object for-profit corporations 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: for-profit corporations | Statement: [Georgia Corporations Division, typeOfBusinessEntitiesHandled, for-profit corporations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfBusinessEntitiesHandled
Context triple: [Georgia Corporations Division, typeOfBusinessEntitiesHandled, for-profit corporations]
  • A. eligibleBusinessType
    Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
  • B. typeOfBusinessOrganization
    Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
  • C. organizationTypeServed
    Indicates the type of organization that is served or supported by a given entity or activity.
  • D. typeOfBusinessItSchedules
    Indicates that an entity is responsible for scheduling activities or operations for a particular type of business.
  • E. hasTypeOfBusinesses chosen
    Indicates that an entity is associated with or contains specific categories or kinds of businesses.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fcdb7c8190ae04d6ad9dff3187 completed April 21, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69e5f5f8a5bc819081918c7fa8e4496d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:58 p.m.