Triple

T5933613
Position Surface form Disambiguated ID Type / Status
Subject Carrefour E131992 entity
Predicate hasPrivateLabel P11989 FINISHED
Object Carrefour Bio
Carrefour Bio is Carrefour’s organic private-label brand offering a wide range of certified organic food and grocery products.
 E131992 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: Carrefour Bio | Statement: [Carrefour, hasPrivateLabel, Carrefour Bio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carrefour Bio
Context triple: [Carrefour, hasPrivateLabel, Carrefour Bio]
  • A. Carrefour
    Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
  • B. 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.
  • C. Danone
    Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
  • D. Saputo Inc.
    Saputo Inc. is a major Canadian dairy company that produces and distributes a wide range of cheese and other dairy products internationally.
  • E. Arcabonne
    Arcabonne is a sorceress and antagonist from the medieval chivalric romance cycle of *Amadis*, known for her vengeful and magical opposition to the hero.
  • 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: Carrefour Bio
Triple: [Carrefour, hasPrivateLabel, Carrefour Bio]
Generated description
Carrefour Bio is Carrefour’s organic private-label brand offering a wide range of certified organic food and grocery products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carrefour Bio
Target entity description: Carrefour Bio is Carrefour’s organic private-label brand offering a wide range of certified organic food and grocery products.
  • A. Carrefour chosen
    Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
  • B. 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.
  • C. Danone
    Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
  • D. Saputo Inc.
    Saputo Inc. is a major Canadian dairy company that produces and distributes a wide range of cheese and other dairy products internationally.
  • E. Arcabonne
    Arcabonne is a sorceress and antagonist from the medieval chivalric romance cycle of *Amadis*, known for her vengeful and magical opposition to the hero.
  • F. None of above.

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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3affd748190a37e3cc60e58d6a6 completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f85e33d8819080d9d721421b4c5b completed March 23, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0fad0bdf08190bf6599d492848582 completed March 23, 2026, 8:33 a.m.
Created at: March 22, 2026, 4 p.m.