Triple

T22402008
Position Surface form Disambiguated ID Type / Status
Subject Varberg E553783 entity
Predicate partOf P40 FINISHED
Object Varberg Municipality NE NERFINISHED

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: Varberg Municipality | Statement: [Varberg, partOf, Varberg Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg Municipality
Context triple: [Varberg, partOf, Varberg Municipality]
  • A. Varberg chosen
    Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
  • B. Solund Municipality
    Solund Municipality is a small island municipality in western Norway known for its rugged coastal landscape and location at the mouth of the Sognefjord.
  • C. Filipstad Municipality
    Filipstad Municipality is a local government area in central Sweden known for its forests, lakes, and small industrial towns, with Filipstad as its administrative center.
  • D. Vaxholm Municipality
    Vaxholm Municipality is a coastal municipality in east-central Sweden known for its archipelago setting and historic fortress town of Vaxholm.
  • E. Kristinehamn Municipality
    Kristinehamn Municipality is a local government area in western Sweden centered on the town of Kristinehamn, known for its lakeside location on Vänern and regional cultural and industrial heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.