Triple

T16805165
Position Surface form Disambiguated ID Type / Status
Subject Ubbergen E408461 entity
Predicate hasOfficialLanguage 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: [Ubbergen, hasOfficialLanguage, Dutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch
Context triple: [Ubbergen, hasOfficialLanguage, Dutch]
  • A. Dutch
    Dutch is the nickname of Dutch Wagenbach, a tough, morally complex detective character from the television series "The Shield."
  • B. 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.
  • C. 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.
  • 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 language
    Dutch is a West Germanic language primarily spoken in the Netherlands and Belgium, serving as the official language of the Netherlands and one of the official languages of Belgium and Suriname.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cb68508190a05749bad68f7b43 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28d3a808190bc94a4f09a10da7e completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.