Triple

T19738925
Position Surface form Disambiguated ID Type / Status
Subject North Denmark Region E474059 entity
Predicate containsCity P294 FINISHED
Object Aars 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: Aars | Statement: [North Denmark Region, containsCity, Aars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aars
Context triple: [North Denmark Region, containsCity, Aars]
  • A. Aars chosen
    Aars is a Danish town in the Himmerland region of northern Jutland, known as a local commercial and cultural center.
  • B. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • C. Jahren
    Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
  • D. Anos
    Anos is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Jaren
    Jaren is a vocalist best known for her work in electronic and trance music collaborations.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.