Triple

T4946221
Position Surface form Disambiguated ID Type / Status
Subject Booker Group E111056 entity
Predicate parentOrganization P254 FINISHED
Object Tesco E480672 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: Tesco | Statement: [Booker Group, parentOrganization, Tesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tesco
Context triple: [Booker Group, parentOrganization, Tesco]
  • A. Tesco chosen
    Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
  • B. 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.
  • C. J Sainsbury plc
    J Sainsbury plc is a major British supermarket and retail chain, one of the largest and oldest in the United Kingdom.
  • D. Carrefour
    Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
  • E. Carrefour
    Carrefour is a major suburban city in Haiti, located just southwest of the capital Port-au-Prince and known as part of the country's largest metropolitan area.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81cc862081908b42686f04915238 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:31 p.m.