Triple

T6375433
Position Surface form Disambiguated ID Type / Status
Subject Lillesand E143453 entity
Predicate countrySubdivision P766 FINISHED
Object county of Agder E120897 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: county of Agder | Statement: [Lillesand, countrySubdivision, county of Agder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: county of Agder
Context triple: [Lillesand, countrySubdivision, county of Agder]
  • A. Agder chosen
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • B. Aust-Agder
    Aust-Agder was a former county in southern Norway known for its coastal towns, forests, and role in the country’s maritime and timber industries.
  • C. Vest-Agder
    Vest-Agder was a former county in southern Norway known for its coastal landscape, including the city of Kristiansand, before being merged into Agder county in 2020.
  • D. Stavanger amt
    Stavanger amt was a former administrative county in southwestern Norway that encompassed areas including Finnøy before later being reorganized into modern Rogaland county.
  • E. Østfold
    Østfold is a former county in southeastern Norway known for its coastal landscape along the Oslofjord, historic fortresses, and proximity to the Swedish border.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683ab8e08190ab3c9a5000b1d2be completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638724d448190a7f13a7c449341db completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.