Triple

T15985384
Position Surface form Disambiguated ID Type / Status
Subject The Falls E387678 entity
Predicate setting P1957 FINISHED
Object Niagara Falls 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 | Statement: [The Falls, setting, Niagara Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara Falls
Context triple: [The Falls, setting, Niagara Falls]
  • A. 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.
  • B. Horseshoe Falls
    Horseshoe Falls is a distinct curved segment of Victoria Falls known for its dramatic, horseshoe-shaped curtain of water.
  • C. Horseshoe Falls
    Horseshoe Falls is a scenic, horseshoe-shaped waterfall and popular natural attraction near the town of Sabie in Mpumalanga, South Africa.
  • D. Horseshoe Falls
    Horseshoe Falls is a picturesque, semicircular weir on the River Dee near Llangollen in Wales, known for feeding water into the historic Llangollen Canal and forming part of a UNESCO World Heritage Site.
  • E. Horseshoe Falls
    Horseshoe Falls is the largest and most famous of the three waterfalls that collectively form Niagara Falls, straddling the border between Canada and the United States.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15757a3548190900de1962308f6b8 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cfc8d08190a02abc90c889c8e1 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.