Triple

T37283880
Position Surface form Disambiguated ID Type / Status
Subject Love's Hospitality E925476 entity
Predicate corporateFunction P9642 FINISHED
Object hospitality operations for Love's 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: hospitality operations for Love's | Statement: [Love's Hospitality, corporateFunction, hospitality operations for Love's]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: corporateFunction
Context triple: [Love's Hospitality, corporateFunction, hospitality operations for Love's]
  • A. organizationalFunction
    Indicates the role, purpose, or primary activity that an organization performs within a broader system or context.
  • B. businessFunction chosen
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • C. corporateBodyOf
    Indicates that one entity is the corporate body (such as an organization or institution) to which another entity is formally affiliated or belongs.
  • D. organizationFocus
    Indicates the primary area of activity, mission, or specialization that an organization is oriented toward or concentrated on.
  • E. corporateStructure
    Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
  • 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_69f76eafe20c8190856d3b996a4c31a7 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb78cbef988190b8f79d946b46e6b2 completed May 6, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69fb5a9ac5a08190b24ef308963fc52b completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:16 p.m.