Triple

T6997885
Position Surface form Disambiguated ID Type / Status
Subject Protected Geographical Indication E162262 entity
Predicate allowsUseOfNonLocalIngredients P74134 FINISHED
Object yes, under specified conditions 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: yes, under specified conditions | Statement: [Protected Geographical Indication, allowsUseOfNonLocalIngredients, yes, under specified conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsUseOfNonLocalIngredients
Context triple: [Protected Geographical Indication, allowsUseOfNonLocalIngredients, yes, under specified conditions]
  • A. usesIngredient
    Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
  • B. culinaryUse
    Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
  • C. haveCuisine
    Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
  • D. isUsuallyCookedIn
    Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
  • E. usesRecipeOf
    Indicates that one entity prepares or creates something by following the recipe or formula originally defined or used by another entity.
  • F. None of above. chosen

Provenance (4 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c67c94819084fdcf0398606027 completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d8c48ba48190b8d3aa7b8d22816b completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 2:33 p.m.