Triple

T25856368
Position Surface form Disambiguated ID Type / Status
Subject Segelfoss Town E651358 entity
Predicate partOfAuthorNationalityContext P6689 FINISHED
Object Norwegian literature LITERAL 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: Norwegian literature | Statement: [Segelfoss Town, partOfAuthorNationalityContext, Norwegian literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfAuthorNationalityContext
Context triple: [Segelfoss Town, partOfAuthorNationalityContext, Norwegian literature]
  • A. partOfArtistNationalityContext
    Indicates that something functions as a component or aspect of the broader contextual framework surrounding an artist’s nationality.
  • B. authorNationality chosen
    Indicates the relationship between an author and the country or nationality with which that author is identified.
  • C. coAuthorNationality
    Indicates that two or more co-authors of a work share the same nationality or have nationalities being related in the context of their co-authorship.
  • D. nationalityOfPersonReferredTo
    Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
  • E. countryOfNotableWork
    Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
  • F. None of above.

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_69e7ab39035c8190be15c8aaee1bb858 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f74062b9388190b30546cf700a825c completed May 3, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69f73c802b848190b61a416b7488bd96 completed May 3, 2026, 12:16 p.m.
Created at: April 22, 2026, 8 a.m.