Triple
T21511374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumbo |
E530730
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Cencosud |
—
|
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: Cencosud | Statement: [Jumbo, brandOf, Cencosud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cencosud Context triple: [Jumbo, brandOf, Cencosud]
-
A.
Cencosud
chosen
Cencosud is a major Latin American retail conglomerate based in Chile, operating supermarkets, home improvement stores, department stores, and shopping centers across several countries in the region.
-
B.
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.
-
C.
Massmart
Massmart is a South African-based retail and wholesale group operating various discount, warehouse, and specialty stores across sub-Saharan Africa.
-
D.
Carrefour
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
-
E.
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.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea863b18819080e3ff249b10ec28 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.