Triple

T7546813
Position Surface form Disambiguated ID Type / Status
Subject Idaho State University E178423 entity
Predicate cityServed P82 FINISHED
Object Idaho Falls E641424 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: Idaho Falls | Statement: [Idaho State University, cityServed, Idaho Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idaho Falls
Context triple: [Idaho State University, cityServed, Idaho Falls]
  • A. Idaho Falls chosen
    Idaho Falls is a city in eastern Idaho known as a regional commercial and cultural hub along the Snake River and a gateway to nearby national parks like Yellowstone and Grand Teton.
  • 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. Pocatello
    Pocatello is a city in southeastern Idaho known as a regional hub for education, commerce, and transportation.
  • D. Twin Falls, Idaho
    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.
  • E. Buhl, Idaho
    Buhl, Idaho is a small city in south-central Idaho known for its agricultural economy and proximity to the Snake River.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86151a5a48190a6a53baa54f19293 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:49 p.m.