Triple

T21430980
Position Surface form Disambiguated ID Type / Status
Subject Porkeri E528681 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Vágur 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: Vágur | Statement: [Porkeri, hasNearbySettlement, Vágur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vágur
Context triple: [Porkeri, hasNearbySettlement, Vágur]
  • A. Vágur chosen
    Vágur is a town and important fishing settlement on the island of Suðuroy in the Faroe Islands.
  • B. Sandavágur
    Sandavágur is a picturesque coastal village on the island of Vágar in the Faroe Islands, known for its colorful houses, historic church, and scenic harbor views.
  • C. Sørvágur
    Sørvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to Vágar Airport.
  • D. Klaksvík
    Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
  • E. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • 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.