Triple

T18233726
Position Surface form Disambiguated ID Type / Status
Subject The London Jocks E436612 entity
Predicate hasAlternativeName P39 FINISHED
Object London Scottish NE NERFINISHED

How this triple was built (3 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: London Scottish | Statement: [The London Jocks, hasAlternativeName, London Scottish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Scottish
Context triple: [The London Jocks, hasAlternativeName, London Scottish]
  • A. Glasgow
    Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
  • B. London District
    London District is an administrative ranger district within Kentucky’s Daniel Boone National Forest, responsible for managing and overseeing recreation, conservation, and land use in its portion of the forest.
  • C. London District
    London District is a British Army command responsible for overseeing military units and ceremonial duties in the Greater London area.
  • D. Glasgow Kelvin
    Glasgow Kelvin is a Scottish Parliament constituency in the city of Glasgow, covering central and western urban areas including parts of the West End.
  • E. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: London Scottish
Target entity description: London Scottish is a historic rugby union club based in London, traditionally associated with the Scottish community in the city.
  • A. Glasgow
    Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
  • B. London District
    London District is a British Army command responsible for overseeing military units and ceremonial duties in the Greater London area.
  • C. London District
    London District is an administrative ranger district within Kentucky’s Daniel Boone National Forest, responsible for managing and overseeing recreation, conservation, and land use in its portion of the forest.
  • D. Glasgow Kelvin
    Glasgow Kelvin is a Scottish Parliament constituency in the city of Glasgow, covering central and western urban areas including parts of the West End.
  • E. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • F. None of above. chosen

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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b512a88190aa493b0793ab28b3 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.