Triple

T4946230
Position Surface form Disambiguated ID Type / Status
Subject Booker Group E111056 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Makro (UK)
Makro (UK) is a British cash-and-carry wholesale chain serving businesses and trade customers, operating under the Booker Group.
 E480674 NE FINISHED

How this triple was built (4 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: Makro (UK) | Statement: [Booker Group, hasSubsidiaryBrand, Makro (UK)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makro (UK)
Context triple: [Booker Group, hasSubsidiaryBrand, Makro (UK)]
  • A. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • B. Kaldor
    Kaldor is a surname most prominently associated with Nicholas Kaldor, a 20th-century economist known for his influential contributions to post-Keynesian economic theory.
  • C. Invermark
    Invermark is a small settlement in the remote upper reaches of Glen Esk in Angus, Scotland, known as a gateway to surrounding hills and historic estates.
  • D. Friston
    Friston is a small village and civil parish located in the county of Suffolk in eastern England.
  • E. Westland
    Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Makro (UK)
Triple: [Booker Group, hasSubsidiaryBrand, Makro (UK)]
Generated description
Makro (UK) is a British cash-and-carry wholesale chain serving businesses and trade customers, operating under the Booker Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makro (UK)
Target entity description: Makro (UK) is a British cash-and-carry wholesale chain serving businesses and trade customers, operating under the Booker Group.
  • A. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • B. Kaldor
    Kaldor is a surname most prominently associated with Nicholas Kaldor, a 20th-century economist known for his influential contributions to post-Keynesian economic theory.
  • C. Invermark
    Invermark is a small settlement in the remote upper reaches of Glen Esk in Angus, Scotland, known as a gateway to surrounding hills and historic estates.
  • D. Friston
    Friston is a small village and civil parish located in the county of Suffolk in eastern England.
  • E. Westland
    Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
  • F. None of above. chosen

Provenance (5 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_69be77c873dc81909129644cf929ed5e completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78db96e081909eec1b8e287e6ef9 completed March 21, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69be7940416881908167cd24b11d8be0 completed March 21, 2026, 10:56 a.m.
Created at: March 20, 2026, 1:31 p.m.