Triple

T167873
Position Surface form Disambiguated ID Type / Status
Subject T. S. Eliot E3054 entity
Predicate residence P75 FINISHED
Object London, England, United Kingdom 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, England, United Kingdom | Statement: [T. S. Eliot, residence, London, England, United Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, England, United Kingdom
Context triple: [T. S. Eliot, residence, London, England, United Kingdom]
  • 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. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • C. Kennington, London, England
    Kennington is a residential district in south London, England, known for its historic streets, proximity to central London, and landmarks such as The Oval cricket ground.
  • D. Lexington, England
    Lexington, England is a historic English locality whose name was later adopted by the American town of Lexington, Massachusetts.
  • E. Brentford, London, United Kingdom
    Brentford is a suburban district in West London, England, known for its riverside location on the Thames, transport links, and mix of residential, commercial, and corporate developments.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4d33cd48190b23d84be9cde773d completed March 1, 2026, 8:12 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.