Triple

T25982351
Position Surface form Disambiguated ID Type / Status
Subject rāpoka E646102 entity
Predicate isLegallyProtected P159630 FINISHED
Object true 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: true | Statement: [rāpoka, isLegallyProtected, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLegallyProtected
Context triple: [rāpoka, isLegallyProtected, true]
  • A. isProtectedByLawIn
    Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
  • B. hasLegalProtectionSince
    Indicates that an entity has been under formal legal protection starting from a specified date or point in time.
  • C. legalProtectionFor
    Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
  • D. isProtectedFor
    Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
  • E. isProtectedBy
    Indicates that one entity provides protection, defense, or safeguarding for 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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605102a1881909e83c4240c4ccdc6 completed May 2, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
PDg Predicate description generation batch_69f55e497fa081909bc59a7b92c5df59 completed May 2, 2026, 2:15 a.m.
Created at: April 22, 2026, 8:54 a.m.