Triple

T5515325
Position Surface form Disambiguated ID Type / Status
Subject Cencosud E144667 entity
Predicate ownsBrand P1500 FINISHED
Object Jumbo
Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
 E530730 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: Jumbo | Statement: [Cencosud, ownsBrand, Jumbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jumbo
Context triple: [Cencosud, ownsBrand, Jumbo]
  • A. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • B. Jumbo
    Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
  • C. Jumbo
    Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
  • D. Superjumbo
    Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
  • E. Giant
    "Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
  • 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: Jumbo
Triple: [Cencosud, ownsBrand, Jumbo]
Generated description
Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jumbo
Target entity description: Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
  • A. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • B. Jumbo
    Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
  • C. Jumbo
    Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
  • D. Superjumbo
    Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
  • E. Giant
    "Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5d1d188190b3a222a9ecf2a0e6 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d92e0c8190ad5552d66e370a22 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c0376eea3c8190af11dbb0030cc57d completed March 22, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69c0384d023081909cb0d4ba4b80c07e completed March 22, 2026, 6:43 p.m.
Created at: March 22, 2026, 3:33 p.m.