Triple

T23126936
Position Surface form Disambiguated ID Type / Status
Subject Time E577057 entity
Predicate hasSettlement P1068 FINISHED
Object Kvernaland NE NERFINISHED

How this triple was built (3 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: Kvernaland | Statement: [Time, hasSettlement, Kvernaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvernaland
Context triple: [Time, hasSettlement, Kvernaland]
  • A. Skaland
    Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
  • B. Tivland
    Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
  • C. Austurland
    Austurland is a sparsely populated region in eastern Iceland known for its dramatic fjords, coastal villages, and rugged natural landscapes.
  • D. Skånland
    Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
  • E. Bördeland
    Bördeland is a municipality in the German state of Saxony-Anhalt, known for its rural character and location within the fertile Magdeburg Börde region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kvernaland
Target entity description: Kvernaland is a village in Rogaland county, Norway, known for its agricultural machinery industry and proximity to the city of Stavanger.
  • A. Skaland
    Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
  • B. Tivland
    Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
  • C. Austurland
    Austurland is a sparsely populated region in eastern Iceland known for its dramatic fjords, coastal villages, and rugged natural landscapes.
  • D. Skånland
    Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
  • E. Bördeland
    Bördeland is a municipality in the German state of Saxony-Anhalt, known for its rural character and location within the fertile Magdeburg Börde region.
  • F. None of above. chosen

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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5482588190b95b36075ecc7f24 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.