Triple

T854742
Position Surface form Disambiguated ID Type / Status
Subject Downtown Toronto E18465 entity
Predicate contains P35 FINISHED
Object Yorkville E49088 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: Yorkville | Statement: [Downtown Toronto, contains, Yorkville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorkville
Context triple: [Downtown Toronto, contains, Yorkville]
  • A. Yorkville chosen
    Yorkville is an upscale Toronto neighborhood known for its luxury shopping, high-end dining, and cultural attractions.
  • B. Yorkville
    Yorkville is a residential neighborhood on Manhattan’s Upper East Side known for its historic German and Central European roots and its mix of tenements, brownstones, and modern high-rises.
  • C. Carmel, New York
    Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
  • D. Rye, New York
    Rye, New York is a small, affluent coastal city in the New York City metropolitan area known for its historic landmarks and waterfront parks along Long Island Sound.
  • E. Tarrytown, New York
    Tarrytown, New York is a historic Hudson River village in Westchester County known for its picturesque setting, 19th-century architecture, and ties to Washington Irving’s “The Legend of Sleepy Hollow.”
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf53ee748190b5a08bd7a6d0614c completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.