Triple

T1669827
Position Surface form Disambiguated ID Type / Status
Subject South Huntington, New York E36098 entity
Predicate hasShoppingCenter P1495 FINISHED
Object Walt Whitman Shops E172425 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: Walt Whitman Shops | Statement: [South Huntington, New York, hasShoppingCenter, Walt Whitman Shops]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Whitman Shops
Context triple: [South Huntington, New York, hasShoppingCenter, Walt Whitman Shops]
  • A. Walt Whitman Shops chosen
    Walt Whitman Shops is a major upscale shopping mall and retail destination on Long Island in New York.
  • B. Whitman
    Whitman is a small town in Plymouth County, Massachusetts, known as the birthplace of the chocolate chip cookie.
  • C. Walt Whitman Birthplace State Historic Site
    Walt Whitman Birthplace State Historic Site is a museum and preserved home dedicated to the life and legacy of American poet Walt Whitman.
  • D. Emerson
    Emerson was the former name of the city now known as Frisco, Texas.
  • E. Walt Whitman
    Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa624285bc8190a763e99e548a3294 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683461ec8190b442054443c472b3 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.