Triple

T234716
Position Surface form Disambiguated ID Type / Status
Subject Yankee Global Enterprises E4483 entity
Predicate hasBusinessInterestIn P1099 FINISHED
Object sports-related businesses 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: sports-related businesses | Statement: [Yankee Global Enterprises, hasBusinessInterestIn, sports-related businesses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusinessInterestIn
Context triple: [Yankee Global Enterprises, hasBusinessInterestIn, sports-related businesses]
  • A. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • B. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • C. hasEconomicActivity chosen
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • D. usesBusinessModel
    Indicates that one entity operates according to, or applies in practice, the business model defined or provided by another entity.
  • E. isSubjectTo
    Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f14f72081908182e76300b59358 completed Feb. 28, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69a25b5c8c888190b5544e687736b373 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.