Triple

T18113755
Position Surface form Disambiguated ID Type / Status
Subject Lier E433544 entity
Predicate subdivisionName P747 FINISHED
Object Lier 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: Lier Municipality | Statement: [Lier, subdivisionName, Lier Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lier Municipality
Context triple: [Lier, subdivisionName, Lier Municipality]
  • A. Lier municipality chosen
    Lier municipality is a local government area in Viken county, Norway, known for its agricultural landscapes and proximity to the city of Drammen.
  • B. Lillestrøm municipality
    Lillestrøm municipality is a Norwegian local government area in Viken county, known for its urban center near Oslo and its role as a regional hub for education, research, and commerce.
  • C. Lillehammer municipality
    Lillehammer municipality is a local government area in Innlandet county, Norway, best known for the town of Lillehammer, which hosted the 1994 Winter Olympics.
  • D. Lier
    Lier is a municipality in Buskerud county, Norway, known for its agricultural landscapes and proximity to the city of Drammen.
  • E. Lier
    Lier is a historic Belgian city in the province of Antwerp, known for its picturesque medieval center, the Zimmer Tower, and its UNESCO-listed beguinage.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.