Triple
T5933612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrefour |
E131992
|
entity |
| Predicate | hasPrivateLabel |
P11989
|
FINISHED |
| Object |
Carrefour Discount
Carrefour Discount is a budget private-label brand offering low-priced everyday consumer goods under the Carrefour retail group.
|
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 Discount | Statement: [Carrefour, hasPrivateLabel, Carrefour Discount]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrefour Discount Context triple: [Carrefour, hasPrivateLabel, Carrefour Discount]
-
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.
Kaufhof
Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
-
D.
Carrefour Pleyel
Carrefour Pleyel is a Paris Métro station in the northern suburb of Saint-Denis, serving as a stop on the busy Line 13.
-
E.
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.
- 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 Discount Triple: [Carrefour, hasPrivateLabel, Carrefour Discount]
Generated description
Carrefour Discount is a budget private-label brand offering low-priced everyday consumer goods under the Carrefour retail group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carrefour Discount Target entity description: Carrefour Discount is a budget private-label brand offering low-priced everyday consumer goods under the Carrefour retail group.
-
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.
Kaufhof
Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
-
D.
Carrefour Pleyel
Carrefour Pleyel is a Paris Métro station in the northern suburb of Saint-Denis, serving as a stop on the busy Line 13.
-
E.
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.
- 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_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c109b3288190928dc4539a2872c2 |
completed | March 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1f6fe60819080a00976740b6a9c |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4 p.m.