Triple

T5515337
Position Surface form Disambiguated ID Type / Status
Subject Cencosud E144667 entity
Predicate hasSubsidiary P254 FINISHED
Object Cencosud Argentina E144667 NE FINISHED

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 Argentina | Statement: [Cencosud, hasSubsidiary, Cencosud Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cencosud Argentina
Context triple: [Cencosud, hasSubsidiary, Cencosud Argentina]
  • 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. Costanera Norte S.A.
    Costanera Norte S.A. is a Chilean concessionaire company responsible for operating and maintaining the Costanera Norte urban highway system in Santiago.
  • D. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • E. Habaguanex S.A.
    Habaguanex S.A. is a Cuban state-run tourism and hospitality company that operates hotels, restaurants, and shops, particularly in Old Havana.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c04cc0735881909b7ea6909570a750 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:33 p.m.