Triple

T8874723
Position Surface form Disambiguated ID Type / Status
Subject Meise E211244 entity
Predicate officialLanguage P236 FINISHED
Object Dutch E2096 NE 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: Dutch | Statement: [Meise, officialLanguage, Dutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch
Context triple: [Meise, officialLanguage, Dutch]
  • A. Dutch chosen
    Dutch is a West Germanic language spoken primarily in the Netherlands and Belgium, serving as the basis for several regional and colonial varieties such as Flemish and Afrikaans.
  • B. Nederlander
    Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
  • C. Dutch Wikipedia
    Dutch Wikipedia is the Dutch-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • D. Zeelandic
    Zeelandic is a West Flemish–related regional language variety spoken in the Dutch province of Zeeland, known for its distinct phonology and vocabulary compared to standard Dutch.
  • E. Dutch Wiktionary
    Dutch Wiktionary is the Dutch-language edition of Wiktionary, a collaborative online dictionary and lexical resource maintained by volunteers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614451d081908804430a72d00edf completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f9714c8190909587eecbb10e1a completed April 3, 2026, 11:14 a.m.
Created at: March 30, 2026, 6:52 p.m.