Triple

T4446732
Position Surface form Disambiguated ID Type / Status
Subject Niagara E96306 entity
Predicate title P38 FINISHED
Object Niagara E96306 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 | Statement: [Niagara, title, Niagara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara
Context triple: [Niagara, title, Niagara]
  • A. Niagara chosen
    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.
  • B. Niagara River
    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.
  • C. brig Niagara
    The brig Niagara is a historic two-masted warship famed as Oliver Hazard Perry’s flagship during the pivotal American victory at the Battle of Lake Erie in the War of 1812.
  • D. Niagara Frontier
    The Niagara Frontier is a region of western New York State encompassing the area around Niagara Falls and the Niagara River, including cities such as Buffalo and Lockport.
  • E. Niagara Falls
    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.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.