Triple

T15562974
Position Surface form Disambiguated ID Type / Status
Subject Fedje Municipality E371042 entity
Predicate partOf P40 FINISHED
Object Nordhordland region E1180814 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: Nordhordland region | Statement: [Fedje Municipality, partOf, Nordhordland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordhordland region
Context triple: [Fedje Municipality, partOf, Nordhordland region]
  • A. Nordhordland chosen
    Nordhordland is a traditional district in western Norway known for its coastal landscapes, fjords, and proximity to the city of Bergen.
  • B. Jæren region
    The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
  • C. Haugesund region
    The Haugesund region is a coastal area in western Norway centered around the town of Haugesund, known for its maritime heritage, cultural festivals, and scenic North Sea landscapes.
  • D. Møre og Romsdal
    Møre og Romsdal is a coastal county in western Norway known for its dramatic fjords, islands, and mountainous landscapes.
  • E. Hordaland
    Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 4:09 a.m.