Triple

T13908776
Position Surface form Disambiguated ID Type / Status
Subject Manchego cheese E334428 entity
Predicate legalProtectionType P15826 FINISHED
Object Denominación de Origen Protegida 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: Denominación de Origen Protegida | Statement: [Manchego cheese, legalProtectionType, Denominación de Origen Protegida]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalProtectionType
Context triple: [Manchego cheese, legalProtectionType, Denominación de Origen Protegida]
  • A. legalProtectionFor
    Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
  • B. legalProtectionScope
    Indicates the extent and boundaries of rights, interests, or activities that are covered and safeguarded under a particular legal protection.
  • C. protectionType chosen
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • D. legalCodeType
    Indicates the specific category or classification of a legal code that applies to an entity or situation.
  • E. legalPrivilege
    Indicates that one party holds a special legal right or protection that allows them to withhold information, avoid certain obligations, or receive preferential treatment under the law in relation to another party or context.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
PD Predicate disambiguation batch_69dd464b1ab48190ae50bfc902bf6ef7 completed April 13, 2026, 7:38 p.m.
Created at: April 9, 2026, 10:16 p.m.