Triple

T6762280
Position Surface form Disambiguated ID Type / Status
Subject Vegårshei E154623 entity
Predicate partOf P40 FINISHED
Object Østre Agder district 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: Østre Agder district | Statement: [Vegårshei, partOf, Østre Agder district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østre Agder district
Context triple: [Vegårshei, partOf, Østre Agder district]
  • A. 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.
  • B. 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.
  • C. Agder chosen
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • D. Sogn og Fjordane
    Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
  • E. Vestfold og Telemark
    Vestfold og Telemark is a former county in southeastern Norway known for its coastal towns, industrial heritage, and varied landscapes from fjords to inland forests and mountains.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21444dc8190a290af86c81e96a5 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf6c62948190a8e8f0d8f259ba42 completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 2:12 p.m.