Triple

T23164060
Position Surface form Disambiguated ID Type / Status
Subject Bradlees E578665 entity
Predicate competitor P1375 FINISHED
Object Kmart 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: Kmart | Statement: [Bradlees, competitor, Kmart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kmart
Context triple: [Bradlees, competitor, Kmart]
  • A. Kmart Corporation chosen
    Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
  • B. E-Mart
    E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
  • C. Transmart
    Transmart is an Indonesian retail hypermarket and supermarket chain known for offering a wide range of consumer goods and groceries.
  • D. Kmart Robina
    Kmart Robina is a large discount department store located within the Robina Town Centre shopping complex on the Gold Coast, Queensland, Australia.
  • E. 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.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2b0414819081f9c2d6b8c88421 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:02 p.m.