Triple

T23519301
Position Surface form Disambiguated ID Type / Status
Subject TJX Companies E574458 entity
Predicate tickerSymbol P1447 FINISHED
Object TJX 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 | Statement: [TJX Companies, tickerSymbol, TJX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJX
Context triple: [TJX Companies, tickerSymbol, TJX]
  • 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. TJ Maxx
    TJ Maxx is a major American off-price department store chain known for selling brand-name apparel, home goods, and accessories at discounted prices.
  • 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. 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa84fe7c8190aa1078a118af7d61 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.