Triple

T2199775
Position Surface form Disambiguated ID Type / Status
Subject The Smoke that Thunders E50460 entity
Predicate mainSection P3120 FINISHED
Object Horseshoe Falls E51713 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: Horseshoe Falls | Statement: [The Smoke that Thunders, mainSection, Horseshoe Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horseshoe Falls
Context triple: [The Smoke that Thunders, mainSection, Horseshoe Falls]
  • A. Horseshoe Falls chosen
    Horseshoe Falls is a distinct curved segment of Victoria Falls known for its dramatic, horseshoe-shaped curtain of water.
  • B. 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.
  • C. Upper Falls
    Upper Falls is a village and neighborhood within the city of Newton, Massachusetts, known for its historic mill district along the Charles River.
  • D. American Falls
    American Falls is one of the three major waterfalls that make up Niagara Falls, located on the U.S. side of the Niagara River between New York and Ontario.
  • E. High Falls
    High Falls is a prominent waterfall on the Genesee River in downtown Rochester, New York, historically central to the city’s early industrial development and now a key scenic and tourist attraction.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dbb6e8481908610337cfd2a4bd1 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.