Triple

T22059386
Position Surface form Disambiguated ID Type / Status
Subject Luskentyre E545110 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Seilebost 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: Seilebost | Statement: [Luskentyre, hasNearbySettlement, Seilebost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seilebost
Context triple: [Luskentyre, hasNearbySettlement, Seilebost]
  • A. Seilebost chosen
    Seilebost is a small, scenic village on the Isle of Harris in Scotland’s Outer Hebrides, known for its white-sand beaches and views over turquoise waters.
  • B. Skibotn
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • C. Leie
    Leie is a river in Western Europe that flows through France and Belgium, including the Ghent suburb of Drongen, and is known for its scenic landscapes and historical significance in the region.
  • D. Sillein
    Sillein is the historical German name for the Slovak city of Žilina, an important regional center in northwestern Slovakia.
  • E. Sieseby
    Sieseby is a small village in the northern German state of Schleswig-Holstein, known for its traditional thatched-roof houses and scenic location near the Schlei inlet.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ac9608190ab4f89d4ee7350d0 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.