Triple

T2448831
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 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: [Old Toronto, contains, Yorkville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorkville
Context triple: [Old 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. Garden City
    Garden City is the popular nickname of Port Harcourt, a major oil-producing city in southern Nigeria known for its greenery and urban parks.
  • D. Garden City
    Garden City is the popular nickname for Toowoomba, a major city on the Darling Downs in Queensland, Australia, renowned for its numerous parks and annual flower festival.
  • E. Garden City
    Garden City is the nickname of Missoula, Montana, reflecting its lush, green landscape and abundant trees.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0dc7ed88190920afd4817c621c9 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c0069c8190bfb9e71aea4774d3 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.