Triple

T9474849
Position Surface form Disambiguated ID Type / Status
Subject Riverside Park (Buffalo, New York) E228488 entity
Predicate hasView P854 FINISHED
Object Niagara River E58010 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 River | Statement: [Riverside Park (Buffalo, New York), hasView, Niagara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara River
Context triple: [Riverside Park (Buffalo, New York), hasView, Niagara River]
  • A. Niagara River chosen
    The Niagara River is a short but powerful river in North America that flows from Lake Erie to Lake Ontario and is renowned for forming the famous Niagara Falls along the U.S.–Canada border.
  • B. 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.
  • C. Niagara
    Niagara is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
  • D. St. Lawrence
    St. Lawrence is a historic downtown Toronto neighborhood known for its iconic St. Lawrence Market, heritage architecture, and vibrant urban community.
  • E. St. Lawrence
    St. Lawrence is a small coastal town on the Burin Peninsula of Newfoundland and Labrador, Canada, historically known for its fishing industry and fluorspar mining.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bf604d4819092fc25f487866834 completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:54 p.m.