Triple

T6609223
Position Surface form Disambiguated ID Type / Status
Subject Lazonby E149194 entity
Predicate civilParish P2739 FINISHED
Object Lazonby E149194 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: Lazonby | Statement: [Lazonby, civilParish, Lazonby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazonby
Context triple: [Lazonby, civilParish, Lazonby]
  • A. Lazonby chosen
    Lazonby is a small rural village and civil parish in Cumbria, England, situated in the Eden Valley near the River Eden.
  • B. Boddam
    Boddam is a coastal fishing village in Aberdeenshire, Scotland, known for its historic lighthouse and rugged North Sea shoreline.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Nicholaston Burrows
    Nicholaston Burrows is a coastal sand dune and heathland nature reserve on the Gower Peninsula in South Wales, known for its rich biodiversity and scenic landscapes.
  • E. Cadogan
    Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3301dc819082d427675c36aaa6 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbd228fc8190852fac2308233765 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:57 p.m.