Triple

T13118759
Position Surface form Disambiguated ID Type / Status
Subject Vadsøya cultural heritage area E311668 entity
Predicate locatedIn P40 FINISHED
Object Vadsøya E311667 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: Vadsøya | Statement: [Vadsøya cultural heritage area, locatedIn, Vadsøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vadsøya
Context triple: [Vadsøya cultural heritage area, locatedIn, Vadsøya]
  • A. Vadsøya chosen
    Vadsøya is a small island in northern Norway that forms part of the town of Vadsø, known for its Arctic coastal setting and historical significance in Finnmark.
  • B. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • C. Skogsøya
    Skogsøya is an island in the Vesterålen archipelago in northern Norway, known for its rugged coastal landscape and traditional fishing communities.
  • D. Hestøya
    Hestøya is an island located in the lake Norsjø in Telemark, Norway.
  • E. Rebbenesøya
    Rebbenesøya is a coastal island in northern Norway, located in Troms county and known for its rugged landscapes, fishing communities, and Arctic maritime environment.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:06 p.m.