Triple

T21787
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom of Great Britain and Ireland E433 entity
Predicate capital P234 FINISHED
Object London E1817 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: London | Statement: [United Kingdom of Great Britain and Ireland, capital, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [United Kingdom of Great Britain and Ireland, capital, London]
  • A. London, England chosen
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • B. 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.
  • C. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • D. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • E. Cambridge, England
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466ab310819091842a0ea9fd25de completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa3edb18819080634fad6c570517 completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.