Triple

T20284888
Position Surface form Disambiguated ID Type / Status
Subject London literary scene E509850 entity
Predicate includesInstitution P3814 FINISHED
Object Hatchards 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: Hatchards | Statement: [London literary scene, includesInstitution, Hatchards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatchards
Context triple: [London literary scene, includesInstitution, Hatchards]
  • A. Hatchards chosen
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • B. Fortnum & Mason
    Fortnum & Mason is a historic and prestigious British department store in London, renowned for its luxury food halls, hampers, and fine goods.
  • C. Hamleys
    Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
  • D. Woolworth
    Woolworth is a surname most famously associated with Frank Winfield Woolworth, the American entrepreneur who founded the pioneering F. W. Woolworth retail chain.
  • E. Cluett Peabody & Company
    Cluett Peabody & Company was a prominent American clothing manufacturer best known for its Arrow brand shirts and collars and its influential early 20th-century advertising campaigns.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67691516c81909f32b176edb6214c completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:05 a.m.