Triple

T13799279
Position Surface form Disambiguated ID Type / Status
Subject Vänersborg E331595 entity
Predicate isSeatOf P62 FINISHED
Object Vänersborg Municipality E331595 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: Vänersborg Municipality | Statement: [Vänersborg, isSeatOf, Vänersborg Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vänersborg Municipality
Context triple: [Vänersborg, isSeatOf, Vänersborg Municipality]
  • A. Vänersborg chosen
    Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
  • B. Sandviken Municipality
    Sandviken Municipality is a local government area in Gävleborg County, Sweden, known for its industrial heritage and the town of Sandviken, home to the steel company Sandvik.
  • C. Nykvarn Municipality
    Nykvarn Municipality is a small municipality in Stockholm County, Sweden, known for its rural character, forests, and lakes west of Stockholm.
  • D. Västervik Municipality
    Västervik Municipality is a local government area on Sweden’s southeast coast known for its archipelago, coastal tourism, and the town of Västervik as its administrative center.
  • E. Vimmerby Municipality
    Vimmerby Municipality is a local government area in southeastern Sweden best known as the birthplace of author Astrid Lindgren and for its associated literary tourism.
  • 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_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.