Triple

T19738913
Position Surface form Disambiguated ID Type / Status
Subject North Denmark Region E474059 entity
Predicate hasIsland P970 FINISHED
Object Mors 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: Mors | Statement: [North Denmark Region, hasIsland, Mors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mors
Context triple: [North Denmark Region, hasIsland, Mors]
  • A. Mors chosen
    Mors is a large Danish island in the Limfjord, known for its varied coastal landscapes, agricultural areas, and the town of Nykøbing Mors.
  • B. Mors
    Mors is the Roman personification of death, often depicted as a shadowy or skeletal figure associated with the end of life.
  • C. Morsum
    Morsum is a village on the German North Sea island of Sylt, known for its traditional thatched-roof houses and the nearby Morsum Cliff nature reserve.
  • D. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • E. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • 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.