Triple

T14709774
Position Surface form Disambiguated ID Type / Status
Subject Oznowicz E345518 entity
Predicate languageOfOrigin P151 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: [Oznowicz, languageOfOrigin, Dutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch
Context triple: [Oznowicz, languageOfOrigin, 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. Dutch
    Dutch is a tough, heavy-weapons specialist and member of the Orbital Drop Shock Troopers (ODST) squad in the video game Halo 3: ODST.
  • C. Dutch
    Dutch is the nickname of Dutch Wagenbach, a tough, morally complex detective character from the television series "The Shield."
  • D. Nederlander
    Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
  • E. Dutch Wikipedia
    Dutch Wikipedia is the Dutch-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08d59b48190a1ddd2aed6ed756e completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.