Triple

T21775168
Position Surface form Disambiguated ID Type / Status
Subject Romerike E537552 entity
Predicate contains P35 FINISHED
Object Lower Romerike 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: Lower Romerike | Statement: [Romerike, contains, Lower Romerike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Romerike
Context triple: [Romerike, contains, Lower Romerike]
  • A. Lower Romerike chosen
    Lower Romerike is a subregion of the Romerike district in Viken county, Norway, encompassing several municipalities in the southern part of the area near Oslo.
  • B. Upper Romerike
    Upper Romerike is the northern part of the Romerike district in Viken county, Norway, known for its mix of growing towns, farmland, and proximity to Oslo Airport Gardermoen.
  • C. Østmarka
    Østmarka is a forested recreational area east of Oslo, Norway, known for its lakes, hiking trails, and outdoor activities.
  • D. Romsdal
    Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
  • E. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04627bd488190bbc1fde8db417b55 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.