Triple

T788004
Position Surface form Disambiguated ID Type / Status
Subject Joe West E16846 entity
Predicate hasBusinessVenture P1099 FINISHED
Object owner of a company producing umpiring equipment 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: owner of a company producing umpiring equipment | Statement: [Joe West, hasBusinessVenture, owner of a company producing umpiring equipment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusinessVenture
Context triple: [Joe West, hasBusinessVenture, owner of a company producing umpiring equipment]
  • A. businessVenture
    Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
  • B. hasEconomicActivity chosen
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • C. hasBusinessRoute
    Indicates that there exists an established commercial or service route connecting two business-related entities.
  • D. hasNotableProject
    Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
  • E. businessBase
    Indicates that one entity serves as the primary business foundation, core location, or main operational base for 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69a4a50ef72c819084ffe9f31dbd0262 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:38 p.m.