Triple

T7669126
Position Surface form Disambiguated ID Type / Status
Subject Kitchener-Waterloo Oktoberfest E173701 entity
Predicate hostCity P1798 FINISHED
Object City of Kitchener E32080 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: City of Kitchener | Statement: [Kitchener-Waterloo Oktoberfest, hostCity, City of Kitchener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kitchener
Context triple: [Kitchener-Waterloo Oktoberfest, hostCity, City of Kitchener]
  • A. Kitchener chosen
    Kitchener is a mid-sized city in southwestern Ontario, Canada, known for its manufacturing history and annual Oktoberfest celebration.
  • B. King City, Ontario
    King City, Ontario is a community in the township of King, north of Toronto, known for hosting major cricket events at the Maple Leaf Cricket Club.
  • C. Guelph
    Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
  • D. Trenton, Ontario
    Trenton, Ontario is a community in southeastern Ontario, Canada, located on the Bay of Quinte and known as a key gateway to Prince Edward County and home to the large Canadian Forces Base Trenton.
  • E. Oshawa
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c3ff38819090d65ac4ae218750 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 4 p.m.