Triple

T18113330
Position Surface form Disambiguated ID Type / Status
Subject Lunner E433535 entity
Predicate partOf P40 FINISHED
Object Hadeland traditional district 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: Hadeland traditional district | Statement: [Lunner, partOf, Hadeland traditional district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadeland traditional district
Context triple: [Lunner, partOf, Hadeland traditional district]
  • A. Oppland traditional district
    Oppland traditional district is a historic region in inland Norway known for its mountainous landscapes, valleys, and cultural heritage.
  • B. St. Hanshaugen district
    St. Hanshaugen district is a central borough of Oslo, Norway, known for its large public park, historic architecture, and vibrant urban neighborhoods.
  • C. Hadeland district chosen
    Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
  • D. Hjorthagen district
    Hjorthagen district is a residential neighborhood in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing, modern developments, and proximity to the Royal National City Park.
  • E. Gamle Oslo district
    Gamle Oslo district is a central borough of Norway’s capital city known for its historic neighborhoods, diverse population, and rapidly developing waterfront areas.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.