Triple

T3982185
Position Surface form Disambiguated ID Type / Status
Subject Annobonese people E85782 entity
Predicate governingLanguageOfState P50752 FINISHED
Object Spanish 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: Spanish | Statement: [Annobonese people, governingLanguageOfState, Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governingLanguageOfState
Context triple: [Annobonese people, governingLanguageOfState, Spanish]
  • A. governingLanguage chosen
    Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
  • B. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. nationalLanguageStatus
    Indicates that a language holds official or nationally recognized status within a country or political entity.
  • D. 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.
  • E. nationalLanguageStandardizedIn
    Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69aef8f492ac819089dbb9436dbcdd2b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.