Triple

T9766203
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Dormagen E236996 entity
Predicate primaryAdministrativeLanguage P1252 FINISHED
Object Middle Dutch 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: Middle Dutch | Statement: [Bishopric of Dormagen, primaryAdministrativeLanguage, Middle Dutch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryAdministrativeLanguage
Context triple: [Bishopric of Dormagen, primaryAdministrativeLanguage, Middle Dutch]
  • A. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • C. primaryLocalLanguageFamily
    Indicates the main linguistic family to which the predominant local language of an entity belongs.
  • D. languageOfPrimaryCult
    Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
  • E. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69cd03d3b68c81909e570401a891b9f2 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:25 p.m.