Triple

T15654991
Position Surface form Disambiguated ID Type / Status
Subject Yanomami E376414 entity
Predicate countryLegalProtection P38312 FINISHED
Object Brazilian Indigenous territories 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: Brazilian Indigenous territories | Statement: [Yanomami, countryLegalProtection, Brazilian Indigenous territories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryLegalProtection
Context triple: [Yanomami, countryLegalProtection, Brazilian Indigenous territories]
  • A. countryLegalFramework
    Indicates the legal system, regulations, and institutional rules that govern actions and relationships within a given country.
  • B. legalLicenseJurisdiction
    Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
  • C. isProtectedByLawIn chosen
    Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
  • D. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • E. legalCodeAppliesTo
    Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69deda890140819082608931e993dd61 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:15 a.m.