Triple

T2875613
Position Surface form Disambiguated ID Type / Status
Subject Wahkeena Falls E56870 entity
Predicate near P350 FINISHED
Object Multnomah Falls E12652 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: Multnomah Falls | Statement: [Wahkeena Falls, near, Multnomah Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Multnomah Falls
Context triple: [Wahkeena Falls, near, Multnomah Falls]
  • A. Multnomah Falls chosen
    Multnomah Falls is a famous two-tiered waterfall in the Columbia River Gorge of Oregon, known for its scenic beauty and iconic footbridge.
  • B. Bridal Veil Falls (Oregon)
    Bridal Veil Falls (Oregon) is a picturesque two-tiered waterfall in the Columbia River Gorge, popular for its short hiking trail and scenic viewpoints.
  • C. Shoshone Falls
    Shoshone Falls is a large waterfall in southern Idaho often called the "Niagara of the West" for its impressive height and volume.
  • 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. Wahclella Falls
    Wahclella Falls is a picturesque two-tiered waterfall on Tanner Creek in Oregon, popular for its short hiking trail and lush Columbia River Gorge scenery.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f2e10b0819090455b876abe821b completed March 12, 2026, 12:56 a.m.
Created at: March 6, 2026, 10:03 p.m.