Triple

T1207188
Position Surface form Disambiguated ID Type / Status
Subject Derbion E25915 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Sainsbury's E43007 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: Sainsbury's | Statement: [Derbion, hasAnchorTenant, Sainsbury's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sainsbury's
Context triple: [Derbion, hasAnchorTenant, Sainsbury's]
  • A. Sainsbury
    Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
  • B. J Sainsbury plc chosen
    J Sainsbury plc is a major British supermarket and retail chain, one of the largest and oldest in the United Kingdom.
  • C. Marks & Spencer
    Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
  • D. 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.
  • E. Carrefour
    Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8319d0e88190977a4d434b209f11 completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.