Triple

T12693297
Position Surface form Disambiguated ID Type / Status
Subject The Parlour E303262 entity
Predicate operatedBy P86 FINISHED
Object Fortnum & Mason E63012 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: Fortnum & Mason | Statement: [The Parlour, operatedBy, Fortnum & Mason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortnum & Mason
Context triple: [The Parlour, operatedBy, Fortnum & Mason]
  • A. Fortnum & Mason chosen
    Fortnum & Mason is a historic and prestigious British department store in London, renowned for its luxury food halls, hampers, and fine goods.
  • B. Harvey Nichols
    Harvey Nichols is a luxury British department store renowned for its high-end fashion, beauty, and lifestyle offerings.
  • C. Hatchards
    Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
  • D. Harrods
    Harrods is a world-famous luxury department store in London renowned for its upscale shopping, elaborate food halls, and iconic Knightsbridge location.
  • 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 (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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dbc91c8190bec50797bbd593db completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ea02e08190b3be1fdfe86b4ee5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:22 p.m.