Triple

T38510364
Position Surface form Disambiguated ID Type / Status
Subject Gourma E921885 entity
Predicate countryOfficialLanguageCoexistsWith P204698 FINISHED
Object French in Burkina Faso 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: French in Burkina Faso | Statement: [Gourma, countryOfficialLanguageCoexistsWith, French in Burkina Faso]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfficialLanguageCoexistsWith
Context triple: [Gourma, countryOfficialLanguageCoexistsWith, French in Burkina Faso]
  • A. countryOfficialLanguageStatus
    Indicates the status or role that a particular language holds as an official language within a given country.
  • B. idiomasOficiales
    Indicates that one or more languages are officially recognized or designated for use by a given entity (such as a country, region, or institution).
  • C. hasLanguageOfficial
    Indicates that a language holds official status within a given entity, such as a country, region, or organization.
  • D. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • E. declaresOfficialLanguageOf
    Indicates that an authority formally designates a particular language as the official language of a specified entity or jurisdiction.
  • 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_69f76ea3c5448190aa7002fc1ba3f874 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c84ecbc81908232e5215355f43b completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:32 p.m.