Triple

T4713967
Position Surface form Disambiguated ID Type / Status
Subject The Mall in Columbia E104586 entity
Predicate anchorStore P11754 FINISHED
Object Lord & Taylor E81741 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: Lord & Taylor | Statement: [The Mall in Columbia, anchorStore, Lord & Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord & Taylor
Context triple: [The Mall in Columbia, anchorStore, Lord & Taylor]
  • A. Lord & Taylor chosen
    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.
  • B. Dillard's
    Dillard's is a major American department store chain offering a wide range of apparel, cosmetics, and home goods, primarily located in shopping malls across the United States.
  • C. Bloomingdale's
    Bloomingdale's is a high-end American department store chain known for its designer fashion, luxury goods, and flagship locations in major cities.
  • D. Macy's
    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.
  • E. Nordstrom
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c3f283c8190b2d18ad5159a35ed completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a16d1c819081e9e20f015c7f90 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:18 p.m.