Triple

T5757629
Position Surface form Disambiguated ID Type / Status
Subject Yosemite Creek E127008 entity
Predicate hasWaterfall P13549 FINISHED
Object Yosemite Falls E8277 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: Yosemite Falls | Statement: [Yosemite Creek, hasWaterfall, Yosemite Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yosemite Falls
Context triple: [Yosemite Creek, hasWaterfall, Yosemite Falls]
  • A. Yosemite Falls chosen
    Yosemite Falls is one of North America’s tallest and most famous waterfalls, cascading dramatically over granite cliffs in California’s Sierra Nevada.
  • B. Shoshone Falls
    Shoshone Falls is a large waterfall in southern Idaho often called the "Niagara of the West" for its impressive height and volume.
  • C. Multnomah Falls
    Multnomah Falls is a famous two-tiered waterfall in the Columbia River Gorge of Oregon, known for its scenic beauty and iconic footbridge.
  • D. Sutherland Falls
    Sutherland Falls is one of New Zealand’s most famous and tallest waterfalls, located deep in the remote wilderness of Fiordland on the South Island.
  • E. Bridal Veil Falls
    Bridal Veil Falls is a picturesque waterfall on Manitoulin Island in Ontario, Canada, known for its curtain-like cascade and popular swimming and hiking area.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029363c988190b12f3f7b68295748 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0c6c3e08190b0118908ecb85df2 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:49 p.m.