Triple

T16136614
Position Surface form Disambiguated ID Type / Status
Subject Ranfjorden E391545 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Hemnesberget E1180223 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: Hemnesberget | Statement: [Ranfjorden, hasSettlementOnShore, Hemnesberget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hemnesberget
Context triple: [Ranfjorden, hasSettlementOnShore, Hemnesberget]
  • A. Hemnesberget chosen
    Hemnesberget is a small coastal village in Nordland county, Norway, known for its scenic fjord-side location and role as an administrative and service center for the surrounding area.
  • B. Høgefjellet
    Høgefjellet is a mountain located on the island of Vågsøy in Vestland county, western Norway.
  • C. Hermannsdalstinden
    Hermannsdalstinden is a prominent mountain peak in Norway’s Lofoten archipelago, renowned for its dramatic alpine scenery and challenging hiking routes.
  • D. Kjerkeberget
    Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
  • E. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05148c8190bc2b98217fda23cc completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b39bbc8190a2cb77a3f0a329fd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.