Triple

T13798572
Position Surface form Disambiguated ID Type / Status
Subject Ringsaker E331578 entity
Predicate contains P35 FINISHED
Object Moelv town E331587 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: Moelv town | Statement: [Ringsaker, contains, Moelv town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moelv town
Context triple: [Ringsaker, contains, Moelv town]
  • A. Moelv chosen
    Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
  • B. Holmsbu
    Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
  • C. Segelfoss Town
    Segelfoss Town is a novel by Norwegian author Knut Hamsun that portrays the social and economic transformations of a small Norwegian town at the turn of the 20th century.
  • D. Flekkefjord town
    Flekkefjord town is a coastal settlement in southern Norway known for its historic wooden architecture, maritime heritage, and role as a local commercial and cultural hub.
  • E. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.