Triple

T7123326
Position Surface form Disambiguated ID Type / Status
Subject Danish Gold Coast E165997 entity
Predicate languageUsedByAdministration P11893 FINISHED
Object Danish 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: Danish | Statement: [Danish Gold Coast, languageUsedByAdministration, Danish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageUsedByAdministration
Context triple: [Danish Gold Coast, languageUsedByAdministration, Danish]
  • A. historicallyDominantLanguageOfAdministrationIn chosen
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • B. languageUsedAs
    Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
  • C. languagesUsed
    Indicates that one entity uses, employs, or is expressed in one or more languages associated with the other entity.
  • D. languageFamilyOfAdministration
    Indicates the language family used as the primary medium of official governance or administrative functions for an entity.
  • E. officialLanguageUse
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ab1f881908bc2468cc72d2544 completed March 27, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:44 p.m.