Triple

T15363607
Position Surface form Disambiguated ID Type / Status
Subject Knivskjellodden E367350 entity
Predicate municipalityCenter P15510 FINISHED
Object Honningsvåg E378640 NE FINISHED

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: Honningsvåg | Statement: [Knivskjellodden, municipalityCenter, Honningsvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honningsvåg
Context triple: [Knivskjellodden, municipalityCenter, Honningsvåg]
  • A. Honningsvåg chosen
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • B. Berlevåg
    Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
  • C. Kalvåg
    Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
  • D. Svelvik
    Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
  • E. Skarsvåg
    Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e479f188190bbbc3dcd73853e02 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 3:18 a.m.