Triple

T11281551
Position Surface form Disambiguated ID Type / Status
Subject Öræfi region E267076 entity
Predicate partOf P40 FINISHED
Object Suðurland E565929 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: Suðurland | Statement: [Öræfi region, partOf, Suðurland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suðurland
Context triple: [Öræfi region, partOf, Suðurland]
  • A. Suðurland chosen
    Suðurland is a region in southern Iceland known for its dramatic landscapes, including waterfalls, glaciers, black sand beaches, and active volcanoes.
  • B. Suðurnes
    Suðurnes is a southwestern region of Iceland known for its volcanic landscapes, fishing towns, and proximity to Keflavík International Airport and the Blue Lagoon.
  • C. Svortland
    Svortland is the main village and local hub on the island municipality of Bømlo in Vestland county, Norway.
  • D. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • E. Austurland
    Austurland is a sparsely populated region in eastern Iceland known for its dramatic fjords, coastal villages, and rugged natural landscapes.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e96e15708190b3a1cccfbbe65882 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a18ef88819095905fe726e07053 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:31 p.m.