Triple

T22328258
Position Surface form Disambiguated ID Type / Status
Subject Stoney Middleton E551957 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Baslow 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: Baslow | Statement: [Stoney Middleton, hasNearbySettlement, Baslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baslow
Context triple: [Stoney Middleton, hasNearbySettlement, Baslow]
  • A. Baslow chosen
    Baslow is a village in Derbyshire, England, situated near Chatsworth House in the Peak District and known for its picturesque setting and historic parish church.
  • B. Bresslaw
    Bresslaw is a surname most notably associated with British comic actor Bernard Bresslaw, known for his roles in the "Carry On" film series.
  • C. Vanselow
    Vanselow is a German-language surname borne by various individuals, including figures such as Ernst Vanselow.
  • D. Shklow
    Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
  • E. Halanzy
    Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15769fdb48190b84e0c019ab63579 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.