Triple

T15042493
Position Surface form Disambiguated ID Type / Status
Subject Stord E378635 entity
Predicate hasSettlement P1068 FINISHED
Object Leirvik E371041 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: Leirvik | Statement: [Stord, hasSettlement, Leirvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leirvik
Context triple: [Stord, hasSettlement, Leirvik]
  • A. Leirvik chosen
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • B. Lugnvik
    Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
  • C. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • D. Birketveit
    Birketveit is a village in Agder county, Norway, serving as the main local hub for municipal services and community life in Iveland.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3 a.m.