Triple

T16811644
Position Surface form Disambiguated ID Type / Status
Subject Innlandet county E408626 entity
Predicate containsPart P35 FINISHED
Object Sel municipality E331816 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: Sel municipality | Statement: [Innlandet county, containsPart, Sel municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sel municipality
Context triple: [Innlandet county, containsPart, Sel municipality]
  • A. Sel municipality chosen
    Sel municipality is a local government area in Innlandet county, Norway, known for its mountainous landscapes and the town of Otta as its administrative center.
  • B. Sur Municipality
    Sur Municipality is the local governing body responsible for administering public services and development in the Sur district of Oman.
  • C. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • D. Stad Municipality
    Stad Municipality is a local government area in Vestland county, Norway, established through the merger of former municipalities including Eid.
  • E. Lesja municipality
    Lesja municipality is a rural local government area in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and proximity to national parks such as Dovrefjell-Sunndalsfjella.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.