Triple

T21450880
Position Surface form Disambiguated ID Type / Status
Subject Gjógv E529202 entity
Predicate region P40 FINISHED
Object Northern Eysturoy 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: Northern Eysturoy | Statement: [Gjógv, region, Northern Eysturoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Eysturoy
Context triple: [Gjógv, region, Northern Eysturoy]
  • A. Eysturoy chosen
    Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
  • B. Suðuroy
    Suðuroy is the southernmost of the Faroe Islands, known for its dramatic coastal cliffs, small fishing villages, and relatively remote, rugged landscape.
  • C. Streymoy
    Streymoy is the largest and most populous island of the Faroe Islands, home to the capital city Tórshavn and the archipelago’s main political and economic activities.
  • D. Fjærland
    Fjærland is a picturesque village in Vestland county, Norway, known for its dramatic fjord landscape, nearby Jostedalsbreen glacier, and its status as Norway’s “Book Town” with numerous second-hand bookshops.
  • E. Suðurland
    Suðurland is a region in southern Iceland known for its dramatic landscapes, including waterfalls, glaciers, black sand beaches, and active volcanoes.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d33e648190864b0ef5acf36659 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.