Triple

T17088542
Position Surface form Disambiguated ID Type / Status
Subject Rebbenesøya E414662 entity
Predicate hasNearbyIsland P970 FINISHED
Object Ringvassøya 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: Ringvassøya | Statement: [Rebbenesøya, hasNearbyIsland, Ringvassøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringvassøya
Context triple: [Rebbenesøya, hasNearbyIsland, Ringvassøya]
  • A. Ringvassøya chosen
    Ringvassøya is a large island in northern Norway known for its rugged Arctic landscapes, fishing communities, and proximity to Tromsø.
  • B. Hadseløya
    Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
  • C. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • D. Ytterøya
    Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
  • E. Valderøya
    Valderøya is a village in Møre og Romsdal county, Norway, serving as the main settlement and hub of local services for the island municipality of Giske.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.