Triple

T12914984
Position Surface form Disambiguated ID Type / Status
Subject Mykland Church E308956 entity
Predicate locatedIn P40 FINISHED
Object Mykland E308950 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: Mykland | Statement: [Mykland Church, locatedIn, Mykland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mykland
Context triple: [Mykland Church, locatedIn, Mykland]
  • A. Mykland chosen
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • B. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • C. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • D. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • E. Skåneland
    Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.