Triple

T16262767
Position Surface form Disambiguated ID Type / Status
Subject Follo region E394793 entity
Predicate hasCoastalMunicipality P41457 FINISHED
Object Nesodden E394792 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: Nesodden | Statement: [Follo region, hasCoastalMunicipality, Nesodden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nesodden
Context triple: [Follo region, hasCoastalMunicipality, Nesodden]
  • A. Nesodden chosen
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Sundbyvester
    Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
  • D. Moskenes
    Moskenes is a coastal municipality in Nordland county, Norway, known for its dramatic Lofoten archipelago landscapes, fishing villages, and tourism.
  • E. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8eac988190bdcba6778fbffd64 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:04 a.m.