Triple

T18627477
Position Surface form Disambiguated ID Type / Status
Subject Verran E455319 entity
Predicate hasCoastlineOn P212 FINISHED
Object Verrasundet 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: Verrasundet | Statement: [Verran, hasCoastlineOn, Verrasundet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verrasundet
Context triple: [Verran, hasCoastlineOn, Verrasundet]
  • A. Verrasundet chosen
    Verrasundet is a narrow fjord or strait in Trøndelag county, Norway, known for its sheltered waters and surrounding forested hills.
  • B. Vinderen
    Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
  • C. Nettleden
    Nettleden is a small rural village in Hertfordshire, England, known for its historic church and picturesque Chilterns countryside setting.
  • D. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • E. Sulitjelma
    Sulitjelma is a small former mining village in Fauske Municipality, Nordland county, Norway, known for its mountainous surroundings and access to hiking and outdoor activities.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0581f0819083c1aba9fb85f6a7 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.