Triple

T2512608
Position Surface form Disambiguated ID Type / Status
Subject East Lansing E52734 entity
Predicate locatedNear P294 FINISHED
Object Red Cedar River E191326 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: Red Cedar River | Statement: [East Lansing, locatedNear, Red Cedar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Cedar River
Context triple: [East Lansing, locatedNear, Red Cedar River]
  • A. Red Cedar River chosen
    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.
  • 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. Lake River
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • D. Kinnickinnic River
    The Kinnickinnic River is an urban waterway in southeastern Wisconsin that flows through Milwaukee before emptying into Lake Michigan.
  • E. Pine River
    Pine River is a waterway located within Michigan’s remote and rugged Huron Mountains region.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b48810202c8190a2a8d5ae849b6d9e completed March 13, 2026, 9:56 p.m.
Created at: March 6, 2026, 9:46 p.m.