Triple

T6074756
Position Surface form Disambiguated ID Type / Status
Subject Terra de Miranda E135371 entity
Predicate legalProtectionForLanguage P11896 FINISHED
Object Portuguese law recognizing Mirandese 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: Portuguese law recognizing Mirandese | Statement: [Terra de Miranda, legalProtectionForLanguage, Portuguese law recognizing Mirandese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalProtectionForLanguage
Context triple: [Terra de Miranda, legalProtectionForLanguage, Portuguese law recognizing Mirandese]
  • A. legalProtectionOfLanguage chosen
    Indicates that a language is safeguarded or regulated by formal legal measures, such as laws, policies, or constitutional provisions.
  • B. isProtectedByLawIn
    Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
  • C. legalContent
    Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
  • D. policyLanguage
    Indicates the specific wording or formulation used within a policy to express its rules, conditions, or provisions.
  • E. legalDocumentRelatedToRights
    Indicates a relationship where a legal document concerns, defines, or affects the rights or entitlements of entities involved.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69c049f21fe08190995df3c5c05fb8ea completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:11 p.m.