Triple

T4082604
Position Surface form Disambiguated ID Type / Status
Subject Richmond, Texas E87510 entity
Predicate namedAfter P63 FINISHED
Object Richmond, London E75879 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: Richmond, London | Statement: [Richmond, Texas, namedAfter, Richmond, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond, London
Context triple: [Richmond, Texas, namedAfter, Richmond, London]
  • A. Richmond, Surrey, England chosen
    Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
  • B. City of London
    The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
  • C. Richmond upon Thames
    Richmond upon Thames is a leafy, affluent borough in southwest London known for its riverside scenery, extensive parks like Richmond Park, and historic architecture along the River Thames.
  • D. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • E. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c6456081908cca823ebb13936a completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.