Triple

T20955671
Position Surface form Disambiguated ID Type / Status
Subject Lusophone Africa E516093 entity
Predicate hasLanguagePolicyFeature P187 FINISHED
Object Portuguese as language of administration 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 as language of administration | Statement: [Lusophone Africa, hasLanguagePolicyFeature, Portuguese as language of administration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguagePolicyFeature
Context triple: [Lusophone Africa, hasLanguagePolicyFeature, Portuguese as language of administration]
  • A. hasLanguagePolicyContext
    Indicates that there is an associated language-related policy, rule, or regulatory context governing how language is used or managed in relation to the subject.
  • B. hasLanguagePolicyLink
    Indicates that there is a specific URL or reference link associated with an entity that points to its language policy.
  • C. hasPolicySupport
    Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
  • D. hasOfficialLanguagePolicy chosen
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • E. languagePolicyType
    Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6b19048190b266ed24f6fc1a97 completed April 21, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69e5c9b1bae48190a845165fed1b005e completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 1:28 p.m.