Triple

T15762858
Position Surface form Disambiguated ID Type / Status
Subject Hemnes E382140 entity
Predicate mountainRange P648 FINISHED
Object Okstindan E364336 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: Okstindan | Statement: [Hemnes, mountainRange, Okstindan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okstindan
Context triple: [Hemnes, mountainRange, Okstindan]
  • A. Okstindan chosen
    Okstindan is a mountain range in northern Norway known for its rugged peaks and glaciers, including the prominent summit Oksskolten.
  • B. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • C. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • D. Fidjeland
    Fidjeland is a small village in Sirdal municipality in Agder county, Norway, known for its mountainous surroundings and ski tourism.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb036ee7c8190a8b8da79589ebec0 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:47 a.m.