Triple

T5210024
Position Surface form Disambiguated ID Type / Status
Subject Burnside E117608 entity
Predicate hasVariantSpelling P457 FINISHED
Object Burneside E319958 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: Burneside | Statement: [Burnside, hasVariantSpelling, Burneside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burneside
Context triple: [Burnside, hasVariantSpelling, Burneside]
  • A. Burneside chosen
    Burneside is a small village in Cumbria, England, known for its riverside setting near Kendal and its historic paper mill industry.
  • B. Silloth
    Silloth is a small coastal town in Cumbria, England, known for its Victorian-era seaside promenade and views across the Solway Firth to Scotland.
  • C. Gisburn
    Gisburn is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • D. Ryhope
    Ryhope is a coastal village and suburb of Sunderland in North East England, historically rooted in coal mining and agriculture.
  • E. Castlerock
    Castlerock is a small seaside village and popular holiday resort on the north coast of Northern Ireland.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a703e388190845dedd17252ddde completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefd9e0b481908db7d6e2907b3b2b completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.