Triple

T20998901
Position Surface form Disambiguated ID Type / Status
Subject Vest-Agder E517227 entity
Predicate containsMunicipality P852 FINISHED
Object Sirdal 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: Sirdal | Statement: [Vest-Agder, containsMunicipality, Sirdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirdal
Context triple: [Vest-Agder, containsMunicipality, Sirdal]
  • A. Sirdal chosen
    Sirdal is a mountainous municipality in Agder county, Norway, known for its hydropower production and popular ski resorts.
  • B. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Jondal
    Jondal is a small village and former municipality in Vestland county, Norway, known as a gateway to the Folgefonna glacier and surrounding fjord landscape.
  • E. Hauge
    Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc2395108190871e173354e4ef6f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.