Triple

T31514774
Position Surface form Disambiguated ID Type / Status
Subject Haji-Ioannou family E804036 entity
Predicate knownForBusinessModel P35312 FINISHED
Object low-cost carrier model 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: low-cost carrier model | Statement: [Haji-Ioannou family, knownForBusinessModel, low-cost carrier model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: knownForBusinessModel
Context triple: [Haji-Ioannou family, knownForBusinessModel, low-cost carrier model]
  • A. isBusinessOf
    Indicates that one entity is the business, commercial concern, or enterprise associated with, owned by, or operated by another entity.
  • B. businessEntity
    Indicates a relationship where an entity functions as or is classified as a business or commercial organization.
  • C. notableBusinessType chosen
    Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
  • D. notableEnterprise
    Indicates that an entity is a business or commercial organization recognized for its significance, prominence, or impact.
  • E. associatedCompanyKnownFor
    Indicates that a company linked to an entity is recognized or notable for a particular product, service, activity, or characteristic.
  • 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_69f348ceb0a48190ae7feca263b6296c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 30, 2026, 9:52 p.m.