Triple

T15287346
Position Surface form Disambiguated ID Type / Status
Subject Frans E365435 entity
Predicate hasLanguage P15 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: [Frans, hasLanguage, Dutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch
Context triple: [Frans, hasLanguage, 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 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e551bb0819094db097285443740 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.