Triple

T22471471
Position Surface form Disambiguated ID Type / Status
Subject Kimberly, Idaho E555511 entity
Predicate partOf P40 FINISHED
Object Twin Falls metropolitan area — NE NERFINISHED

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: Twin Falls metropolitan area | Statement: [Kimberly, Idaho, partOf, Twin Falls metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Twin Falls metropolitan area
Context triple: [Kimberly, Idaho, partOf, Twin Falls metropolitan area]
  • A. Twin Falls, Idaho chosen
    Twin Falls, Idaho is a small city in south-central Idaho known for its dramatic Snake River Canyon scenery, outdoor recreation, and role as a regional commercial hub.
  • B. Twin Falls
    Twin Falls is a spectacular multi-tiered waterfall and popular natural attraction located within Kakadu National Park in Australia’s Northern Territory.
  • C. Twin Falls
    Twin Falls is a scenic dual-drop waterfall located within Oregon’s Silver Falls State Park, known for its lush forest surroundings and popular hiking access.
  • D. Twin Falls
    Twin Falls is a scenic waterfall and popular hiking destination within Springbrook National Park in Queensland, Australia.
  • E. Twin Falls
    Twin Falls is an alternative name for Maria Cristina Falls, a famous twin waterfall on the Agus River in Iligan City, Philippines, known for its scenic beauty and role in hydroelectric power generation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be0d3c08190851537660cda619c completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.