Triple

T17045180
Position Surface form Disambiguated ID Type / Status
Subject Evenskjer E413548 entity
Predicate locatedInDistrict P40 FINISHED
Object Central Hålogaland NE NERFINISHED

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: Central Hålogaland | Statement: [Evenskjer, locatedInDistrict, Central Hålogaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Hålogaland
Context triple: [Evenskjer, locatedInDistrict, Central Hålogaland]
  • A. Sørland
    Sørland is the main village and administrative center of the island municipality of Værøy in Nordland county, Norway.
  • B. Trøndelag
    Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
  • C. 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.
  • D. Hålogaland chosen
    Hålogaland is a historical region in northern Norway traditionally encompassing parts of what are now Troms and Nordland counties.
  • E. Midt-Telemark
    Midt-Telemark is a municipality in southeastern Norway known for its agricultural landscape, cultural heritage, and location in the Vestfold og Telemark region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
Created at: April 10, 2026, 5:33 a.m.