Triple

T25933916
Position Surface form Disambiguated ID Type / Status
Subject Sjenica E653500 entity
Predicate cheeseProtectedStatus P147426 FINISHED
Object geographical indication in Serbia 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: geographical indication in Serbia | Statement: [Sjenica, cheeseProtectedStatus, geographical indication in Serbia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cheeseProtectedStatus
Context triple: [Sjenica, cheeseProtectedStatus, geographical indication in Serbia]
  • A. cheeseProtectedDesignation
    Indicates that a cheese has an officially recognized protected designation (such as PDO/PGI), linking it to specific geographic origin and production standards.
  • B. cheeseHasPDOStatus
    Indicates that a cheese possesses Protected Designation of Origin (PDO) status under relevant geographical indication regulations.
  • C. hasProtectedFoodStatus chosen
    Indicates that a food item is officially recognized under a legal or regulatory scheme as having a protected designation, status, or origin.
  • D. cheeseType
    Indicates that one entity is a specific type or variety of cheese in relation to another entity.
  • E. isMeltingCheese
    Indicates that one entity is causing cheese to transition from a solid to a softened or liquid state through heating or similar means.
  • 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_69e7ab3eb9b881909c1390690551f868 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6041afd808190a105a5d8b798e64b completed May 2, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
Created at: April 22, 2026, 8:37 a.m.