Triple

T21102393
Position Surface form Disambiguated ID Type / Status
Subject Stephen Spender E519939 entity
Predicate deathPlace P21 FINISHED
Object Westminster, London, England NE NERFINISHED

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: Westminster, London, England | Statement: [Stephen Spender, deathPlace, Westminster, London, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westminster, London, England
Context triple: [Stephen Spender, deathPlace, Westminster, London, England]
  • A. Westminster, London, England chosen
    Westminster, London, England is a central district of the UK capital known for housing key government institutions, royal landmarks, and major historical sites.
  • B. Kensington, London, England
    Kensington, London, England is an affluent central London district known for its elegant residential streets, embassies, and cultural landmarks such as Kensington Palace and the Royal Albert Hall.
  • C. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • D. Hammersmith, London, England
    Hammersmith is a vibrant district in West London known for its commercial centers, riverside pubs, and role as a major transport and cultural hub.
  • E. Richmond, Surrey, England
    Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5ee8948190ac6e9e144d312c90 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.