Triple

T19223313
Position Surface form Disambiguated ID Type / Status
Subject Tesco E480672 entity
Predicate formerSubsidiary P6796 FINISHED
Object Tesco Lotus 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: Tesco Lotus | Statement: [Tesco, formerSubsidiary, Tesco Lotus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tesco Lotus
Context triple: [Tesco, formerSubsidiary, Tesco Lotus]
  • 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. Asda
    Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
  • C. 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.
  • D. Shaw's Supermarkets
    Shaw's Supermarkets is a New England–based grocery store chain that operates supermarkets across several northeastern U.S. states.
  • E. Morrisons
    Morrisons is one of the United Kingdom’s largest supermarket chains, offering groceries and household goods through an extensive network of stores and online services.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa94aed081909045cfed8edc6039 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:24 p.m.