Triple

T4890698
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Dordrecht E109551 entity
Predicate primaryVernacular 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 Dordrecht, primaryVernacular, Middle Dutch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryVernacular
Context triple: [Bishopric of Dordrecht, primaryVernacular, 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. primaryCulture
    Indicates the main or dominant culture associated with an entity, typically in contrast to any secondary or additional cultures.
  • C. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • 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. primaryLexifierLanguage
    Indicates the main source language from which the core vocabulary and structure of another language, typically a contact or creole language, are primarily derived.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.