Triple

T17143486
Position Surface form Disambiguated ID Type / Status
Subject Nordkjosbotn E416027 entity
Predicate hasPrimaryLanguageVariant P83252 FINISHED
Object Bokmål E29332 NE FINISHED

How this triple was built (3 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: Bokmål | Statement: [Nordkjosbotn, hasPrimaryLanguageVariant, Bokmål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokmål
Context triple: [Nordkjosbotn, hasPrimaryLanguageVariant, Bokmål]
  • A. Bokmål chosen
    Bokmål is the most widely used written standard of the Norwegian language, employed in government, education, media, and everyday communication.
  • B. Norwegian Landsmål
    Norwegian Landsmål is a historical written standard of the Norwegian language that later developed into what is now known as Nynorsk.
  • C. Norwegian (administrative)
    Norwegian (administrative) is the official form of the Norwegian language used for government, legal, and bureaucratic purposes in certain territories such as Greenland and Svalbard.
  • D. Norwegian language
    Norwegian is a North Germanic language spoken primarily in Norway, closely related to Danish and Swedish and featuring two official written standards, Bokmål and Nynorsk.
  • E. Middle Norwegian
    Middle Norwegian is a historical North Germanic language stage spoken in Norway roughly between the late Middle Ages and the early modern period, bridging Old Norwegian and modern Norwegian.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLanguageVariant
Context triple: [Nordkjosbotn, hasPrimaryLanguageVariant, Bokmål]
  • A. hasPrimaryLanguageBranch
    Indicates that an entity’s main or dominant language belongs to a specified language branch or family.
  • B. hasPrimaryVernacularLanguageFamily
    Indicates that an entity’s main vernacular language belongs to a specified language family.
  • C. hasPrimaryLanguage1 chosen
    Indicates that an entity’s main or most commonly used language is the specified language.
  • D. hasPrimaryLanguageSubbranch
    Indicates that one language subbranch is the main or principal subbranch associated with a given language or language family.
  • E. hasSecondaryLanguageFamily
    Indicates that an entity has an additional, non-primary association with a particular language family.
  • F. None of above.

Provenance (4 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.