Triple

T9104745
Position Surface form Disambiguated ID Type / Status
Subject Yorktown Center E218449 entity
Predicate formerAnchor P70783 FINISHED
Object Von Maur E90349 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: Von Maur | Statement: [Yorktown Center, formerAnchor, Von Maur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Von Maur
Context triple: [Yorktown Center, formerAnchor, Von Maur]
  • A. Von Maur chosen
    Von Maur is an American upscale department store chain known for its high-end fashion, customer service, and presence in major shopping malls across the Midwest and South.
  • B. Burdine
    Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
  • C. Hecht's
    Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
  • D. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • E. Harveys
    Harveys is a casino and hotel brand best known for its flagship resort on the south shore of Lake Tahoe, offering gaming, entertainment, and lodging.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca5714d048190a633caaaa707ac3b completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01840d2488190a14d458aa181cc47 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.