Triple

T13895924
Position Surface form Disambiguated ID Type / Status
Subject George Edward Lynch Cotton E334086 entity
Predicate workLocation P7 FINISHED
Object Rugby, England E137534 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: Rugby, England | Statement: [George Edward Lynch Cotton, workLocation, Rugby, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rugby, England
Context triple: [George Edward Lynch Cotton, workLocation, Rugby, England]
  • A. Rugby, Warwickshire, England chosen
    Rugby, Warwickshire, England is a historic market town in the West Midlands best known as the birthplace of rugby football and home to the renowned Rugby School.
  • B. Matfield, Kent, England
    Matfield, Kent, England is a small village in the Wealden countryside of southeast England, noted as the birthplace of poet and war memoirist Siegfried Sassoon.
  • C. Rutland, England
    Rutland, England is a small historic county in the East Midlands of England, known for its rural character, market towns, and Rutland Water reservoir.
  • D. England, United Kingdom
    England, United Kingdom is a constituent country of the UK known for its rich history, cultural influence, and major cities such as London.
  • E. Reading, United Kingdom
    Reading, United Kingdom is a major commercial and technology hub in Berkshire, England, known for its strong IT sector and proximity to London.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d72c6c819093bf9c43136839d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71eb1808190b0a3a28a8011e9c7 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.