Triple

T19398338
Position Surface form Disambiguated ID Type / Status
Subject Jet.com E485249 entity
Predicate parentOrganization P254 FINISHED
Object Walmart 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: Walmart | Statement: [Jet.com, parentOrganization, Walmart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walmart
Context triple: [Jet.com, parentOrganization, Walmart]
  • A. Walmart Inc. chosen
    Walmart Inc. is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores and is one of the world’s largest companies by revenue.
  • B. Dollar General
    Dollar General is a major American discount retail chain known for its widespread network of small-format stores offering low-priced household goods and everyday essentials.
  • C. Walmart Supercenter
    Walmart Supercenter is a large-format retail store chain in the United States that combines a full supermarket with a wide range of general merchandise under one roof.
  • D. Target Corporation
    Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
  • E. E-Mart
    E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62574edd08190b5456108d5e3907e completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.