Triple

T18730209
Position Surface form Disambiguated ID Type / Status
Subject United States retail industry E458013 entity
Predicate majorCompany P597 FINISHED
Object TJX Companies 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: TJX Companies | Statement: [United States retail industry, majorCompany, TJX Companies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJX Companies
Context triple: [United States retail industry, majorCompany, TJX Companies]
  • A. TJX Companies chosen
    TJX Companies is a major American off-price retail corporation that operates popular discount apparel and home goods chains worldwide.
  • B. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • C. Target Corporation
    Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
  • D. Neiman Marcus Group
    Neiman Marcus Group is a luxury retail holding company best known for operating high-end department stores and specialty boutiques in the United States.
  • E. The Bon-Ton
    The Bon-Ton was a regional department store chain in the United States known for selling clothing, shoes, cosmetics, and home goods, primarily in mid-sized markets.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d778cf8819083500600b9ac0744 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.