Triple

T1680182
Position Surface form Disambiguated ID Type / Status
Subject Culture of Ukrainian borscht cooking E36319 entity
Predicate safeguardingMeasuresInclude P32681 FINISHED
Object documentation of recipes 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: documentation of recipes | Statement: [Culture of Ukrainian borscht cooking, safeguardingMeasuresInclude, documentation of recipes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safeguardingMeasuresInclude
Context triple: [Culture of Ukrainian borscht cooking, safeguardingMeasuresInclude, documentation of recipes]
  • A. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • B. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • C. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • D. protectedBy
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • E. protectionType
    Indicates the kind or method of protection that is applied to or associated with an 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aba644070c81908745b56d981fe273 completed March 7, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69aa61b57a6881909373af287ef24799 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69aba641e6a881909645577e72b53df2 completed March 7, 2026, 4:14 a.m.
Created at: March 4, 2026, 7:29 p.m.