Triple

T23231302
Position Surface form Disambiguated ID Type / Status
Subject Book Two E581161 entity
Predicate originalLanguageSectionOf P151448 FINISHED
Object Markens Grøde NE NERFINISHED

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: Markens Grøde | Statement: [Book Two, originalLanguageSectionOf, Markens Grøde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markens Grøde
Context triple: [Book Two, originalLanguageSectionOf, Markens Grøde]
  • A. Markens Grøde chosen
    Markens Grøde is a classic Norwegian novel by Knut Hamsun that portrays the struggles and rewards of pioneering rural life and the bond between humans and the land.
  • B. Vårgrønn
    Vårgrønn is a renewable energy company focused on developing offshore wind projects, particularly in the North Sea region.
  • C. Grunert
    Grunert is a German-origin surname borne by various notable individuals, including military figures and professionals in diverse fields.
  • D. Rosendahl
    Rosendahl is a municipality in the German state of North Rhine-Westphalia, known for its rural character and historic churches and castles.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • 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: originalLanguageSectionOf
Context triple: [Book Two, originalLanguageSectionOf, Markens Grøde]
  • A. originalLanguageText
    Indicates that a text is expressed in its original, untranslated language.
  • B. originalLanguageOfWholeWork
    Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
  • C. originalLanguageAuthor
    Indicates that an author created a work in a particular original language.
  • D. originalLanguageContext
    Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
  • E. originalLanguageTitle
    Indicates the title of a work as it appears in its original language of creation or publication.
  • F. None of above. chosen

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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923325a08190a529da687de53489 completed April 29, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69effcdadec0819092ec1749ee453b4e completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d8770d081908897c28b04e5faea completed April 28, 2026, 2:37 a.m.
Created at: April 17, 2026, 4:09 p.m.