Triple

T2207005
Position Surface form Disambiguated ID Type / Status
Subject Sarpsborg E50822 entity
Predicate hasWrittenStandard P9326 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: [Sarpsborg, hasWrittenStandard, Bokmål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokmål
Context triple: [Sarpsborg, hasWrittenStandard, 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 (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.
  • C. 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.
  • D. 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.
  • E. Riksmål
    Riksmål is a traditional, conservative written standard of Norwegian closely aligned with Danish and used primarily by language purists and certain cultural institutions.
  • 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: hasWrittenStandard
Context triple: [Sarpsborg, hasWrittenStandard, Bokmål]
  • A. hasOfficialWrittenStandard chosen
    Indicates that there exists an officially recognized and codified written standard governing how something (e.g., a language or system) should be represented in writing.
  • B. hasWrittenFor
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • C. hasWrittenForm
    Indicates that an entity is associated with a specific written or textual representation.
  • D. hasWrittenAbout
    Indicates that one entity has authored content or material discussing, analyzing, or referencing another entity.
  • E. hasLiteraryStandard
    Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by another entity.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69abbda8a6dc8190aa855ce2d17194b1 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.