Triple

T20891598
Position Surface form Disambiguated ID Type / Status
Subject Imperial Abbey of Burtscheid E514419 entity
Predicate laterLanguageOfAdministration P111412 FINISHED
Object German 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: German | Statement: [Imperial Abbey of Burtscheid, laterLanguageOfAdministration, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterLanguageOfAdministration
Context triple: [Imperial Abbey of Burtscheid, laterLanguageOfAdministration, German]
  • A. laterSecondaryLanguageOfAdministration
    Indicates that one language served as a subsequent or later secondary language used for administrative purposes in relation to another language.
  • B. languageOfCurrentAdministration
    Indicates the language currently used by the governing or administrative authority in charge.
  • C. historicallyDominantLanguageOfAdministrationIn
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • D. laterOfficialLanguage chosen
    Indicates that one language became an official language of an entity at a later time than another language.
  • E. languageOfAwardAdministration
    Indicates the language used to administer, manage, or conduct the award process.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d05e307081908f1d044e877017ec completed April 21, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:46 p.m.