Triple

T47718
Position Surface form Disambiguated ID Type / Status
Subject Haitian Creole E937 entity
Predicate hasOfficialOrthography P3085 FINISHED
Object yes 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: yes | Statement: [Haitian Creole, hasOfficialOrthography, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialOrthography
Context triple: [Haitian Creole, hasOfficialOrthography, yes]
  • A. hasOfficialLanguagePolicy
    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.
  • B. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • C. isMostWidelyUsedWritingSystem
    Indicates that the subject writing system is used by more people or in more contexts than any other writing system.
  • D. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • E. hasLanguageOfOrigin
    Indicates that one entity has its origin or source in the language specified by 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24c1a5c14819088748317a3f262c8 completed Feb. 28, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69a24abe7cb481908d969e54032f6c75 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24c198e74819088a211001d0b54d4 completed Feb. 28, 2026, 1:59 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.