Triple

T11962025
Position Surface form Disambiguated ID Type / Status
Subject Metro AG E284690 entity
Predicate brand P1500 FINISHED
Object METRO Cash & Carry
METRO Cash & Carry is a global wholesale and foodservice distribution chain serving professional customers such as retailers, hotels, and restaurants.
 E956303 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: METRO Cash & Carry | Statement: [Metro AG, brand, METRO Cash & Carry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: METRO Cash & Carry
Context triple: [Metro AG, brand, METRO Cash & Carry]
  • A. Massmart
    Massmart is a South African-based retail and wholesale group operating various discount, warehouse, and specialty stores across sub-Saharan Africa.
  • B. Sky Mart
    Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
  • C. E-Mart
    E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
  • D. Almacenes Universales S.A.
    Almacenes Universales S.A. is a Cuban state-owned logistics and warehousing company that operates under the military-controlled conglomerate GAESA.
  • E. Kmart Corporation
    Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
  • 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: METRO Cash & Carry
Triple: [Metro AG, brand, METRO Cash & Carry]
Generated description
METRO Cash & Carry is a global wholesale and foodservice distribution chain serving professional customers such as retailers, hotels, and restaurants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: METRO Cash & Carry
Target entity description: METRO Cash & Carry is a global wholesale and foodservice distribution chain serving professional customers such as retailers, hotels, and restaurants.
  • A. Massmart
    Massmart is a South African-based retail and wholesale group operating various discount, warehouse, and specialty stores across sub-Saharan Africa.
  • B. Sky Mart
    Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
  • C. E-Mart
    E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
  • D. Almacenes Universales S.A.
    Almacenes Universales S.A. is a Cuban state-owned logistics and warehousing company that operates under the military-controlled conglomerate GAESA.
  • E. Kmart Corporation
    Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.