Triple

T21430960
Position Surface form Disambiguated ID Type / Status
Subject Porkeri E528681 entity
Predicate locatedOnIsland P970 FINISHED
Object Suðuroy 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: Suðuroy | Statement: [Porkeri, locatedOnIsland, Suðuroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suðuroy
Context triple: [Porkeri, locatedOnIsland, Suðuroy]
  • A. Suðuroy chosen
    Suðuroy is the southernmost of the Faroe Islands, known for its dramatic coastal cliffs, small fishing villages, and relatively remote, rugged landscape.
  • B. 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.
  • C. Rømø
    Rømø is a Danish island in the Wadden Sea known for its expansive sandy beaches, coastal dunes, and popular holiday resorts.
  • D. Eysturoy
    Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
  • E. Mandø
    Mandø is a small Danish island in the Wadden Sea, known for its tidal causeway access, rich birdlife, and traditional marshland landscapes.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3eb08988190b50eca911442de7c completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.