Triple

T1652149
Position Surface form Disambiguated ID Type / Status
Subject St. Catharines E35715 entity
Predicate hasBorder P224 FINISHED
Object Niagara Falls, Ontario E10589 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: Niagara Falls, Ontario | Statement: [St. Catharines, hasBorder, Niagara Falls, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara Falls, Ontario
Context triple: [St. Catharines, hasBorder, Niagara Falls, Ontario]
  • A. Niagara Falls region
    The Niagara Falls region is a popular tourist area in Ontario, Canada, known for its famous waterfalls, wineries, and cultural attractions.
  • B. Sault Ste. Marie, Ontario, Canada
    Sault Ste. Marie, Ontario, Canada is a northern Ontario city on the St. Marys River known as a key Great Lakes shipping hub and border community opposite Sault Ste. Marie, Michigan.
  • C. Smiths Falls, Ontario
    Smiths Falls, Ontario is a small town in eastern Ontario, Canada, known historically for its role in railway and canal transportation and more recently for its cannabis industry.
  • D. Niagara Falls chosen
    Niagara Falls is a famous group of massive waterfalls on the border between the United States and Canada, renowned for their impressive volume and natural beauty.
  • E. Niagara
    Niagara is a 1953 film noir thriller starring Marilyn Monroe, noted for its dramatic use of the Niagara Falls setting and Monroe’s breakout femme fatale performance.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad681db3408190a3b469e319486419 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.