Triple

T17370888
Position Surface form Disambiguated ID Type / Status
Subject Hole E422310 entity
Predicate partOf P40 FINISHED
Object Ringerike region 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: Ringerike region | Statement: [Hole, partOf, Ringerike region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringerike region
Context triple: [Hole, partOf, Ringerike region]
  • A. Trysil region
    Trysil region is a mountainous forested area in eastern Norway known for its large ski resort and outdoor recreation opportunities.
  • B. Ringerike district chosen
    Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
  • C. Dovre region
    The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
  • D. Haugesund region
    The Haugesund region is a coastal area in western Norway centered around the town of Haugesund, known for its maritime heritage, cultural festivals, and scenic North Sea landscapes.
  • E. Harstad Region
    Harstad Region is a district in Northern Norway centered around the town of Harstad and encompassing surrounding municipalities in Troms county.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.