Triple

T5397587
Position Surface form Disambiguated ID Type / Status
Subject Hailey, Idaho E120694 entity
Predicate locatedOnRiver P165 FINISHED
Object Big Wood River E308806 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: Big Wood River | Statement: [Hailey, Idaho, locatedOnRiver, Big Wood River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Wood River
Context triple: [Hailey, Idaho, locatedOnRiver, Big Wood River]
  • A. Big Wood River chosen
    Big Wood River is a major river in central Idaho known for flowing through the Wood River Valley and offering popular trout fishing and outdoor recreation.
  • B. Cottonwood River
    The Cottonwood River is a tributary of the Neosho River in central Kansas, flowing through the city of Emporia and the surrounding prairie landscape.
  • C. Red Cedar River
    The Red Cedar River is a tributary of the Grand River in Michigan that flows through the campus of Michigan State University and the city of East Lansing.
  • D. Clatskanie River
    The Clatskanie River is a tributary of the Columbia River in northwestern Oregon, known for flowing through forested valleys and the town of Clatskanie before reaching the Columbia.
  • E. Pike River
    Pike River is a small river in southeastern Wisconsin that flows through Kenosha County before emptying into Lake Michigan.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87485d5c819096ae574b1badc9d5 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a9e104881908d6012c87f30061b completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:04 p.m.