Triple

T15048775
Position Surface form Disambiguated ID Type / Status
Subject Mall of Georgia E379298 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Belk E90348 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: Belk | Statement: [Mall of Georgia, hasAnchorTenant, Belk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belk
Context triple: [Mall of Georgia, hasAnchorTenant, Belk]
  • A. Belk chosen
    Belk is a major American department store chain primarily located in the Southeastern United States, offering a wide range of apparel, home goods, and beauty products.
  • B. 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.
  • C. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • 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. Lord & Taylor
    Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de83b648190ba437c0fac164ec6 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.