Triple

T11778643
Position Surface form Disambiguated ID Type / Status
Subject Bowie Town Center E280081 entity
Predicate anchorTenant P11754 FINISHED
Object Macy's E78374 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: Macy's | Statement: [Bowie Town Center, anchorTenant, Macy's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macy's
Context triple: [Bowie Town Center, anchorTenant, Macy's]
  • A. Macy's chosen
    Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
  • B. Marshalls
    Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
  • C. Nordstrom
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • D. 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.
  • E. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a560bf548190afab3ad14f953a71 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090b8f4c481908cb3cf03875c0e24 completed April 28, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:42 p.m.