Triple

T6814575
Position Surface form Disambiguated ID Type / Status
Subject Oslo Havn KF E156720 entity
Predicate jurisdiction P82 FINISHED
Object Oslo Municipality E3654 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: Oslo Municipality | Statement: [Oslo Havn KF, jurisdiction, Oslo Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Municipality
Context triple: [Oslo Havn KF, jurisdiction, Oslo Municipality]
  • A. Trondheim municipality
    Trondheim municipality is a local government area in Trøndelag county, Norway, encompassing the city of Trondheim and its surrounding districts.
  • B. Oslo City Council
    Oslo City Council is the elected municipal legislature responsible for setting policies, budgets, and regulations for the city of Oslo, Norway.
  • C. Oslo county
    Oslo county is Norway’s capital county, encompassing the city of Oslo and serving as the country’s political, economic, and cultural center.
  • D. Oslo chosen
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • E. Ålesund Municipality
    Ålesund Municipality is a local government area in Møre og Romsdal county, Norway, encompassing the coastal city of Ålesund and its surrounding islands.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32c40508190932718a649fc1417 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8108dda308190bb3b7209efe132bb completed March 28, 2026, 5:31 p.m.
Created at: March 27, 2026, 2:17 p.m.