Triple

T5534715
Position Surface form Disambiguated ID Type / Status
Subject Eysturoy E145131 entity
Predicate hasVillage P4011 FINISHED
Object Runavík E529197 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: Runavík | Statement: [Eysturoy, hasVillage, Runavík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runavík
Context triple: [Eysturoy, hasVillage, Runavík]
  • A. Runavík chosen
    Runavík is a coastal town and important fishing and commercial center on the island of Eysturoy in the Faroe Islands.
  • B. Hustadvika
    Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
  • C. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • D. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • E. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fa0141c81909a216be9f48d64e1 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce1bce4819095559af19cf072f8 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.