Triple

T27276736
Position Surface form Disambiguated ID Type / Status
Subject Triora E688213 entity
Predicate hasEconomyProduct P7347 FINISHED
Object cheese 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: cheese | Statement: [Triora, hasEconomyProduct, cheese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomyProduct
Context triple: [Triora, hasEconomyProduct, cheese]
  • A. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • B. hasEconomicBrand
    Indicates that one entity possesses, is associated with, or operates under a particular economic brand or commercial identity.
  • C. hasProduct
    Indicates that an entity possesses, offers, or is associated with a particular product.
  • D. hasEconomicResource
    Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
  • E. economyIncludes chosen
    Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
  • 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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62cd2ceb481908cd9fae52a542206 completed May 2, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f62c1762f881908c25e8f70ecd5041 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 11:03 a.m.