Triple

T21545389
Position Surface form Disambiguated ID Type / Status
Subject Nordmarka E531609 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Lunner 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: Lunner | Statement: [Nordmarka, nearbyMunicipality, Lunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunner
Context triple: [Nordmarka, nearbyMunicipality, Lunner]
  • A. Lunner chosen
    Lunner is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and role as part of the Hadeland traditional district.
  • B. Lundell
    Lundell is a Swedish surname most prominently associated with Ulf Lundell, a well-known rock musician, songwriter, and author.
  • C. Olsker
    Olsker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
  • D. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • E. Loerzer
    Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.