Triple

T11504095
Position Surface form Disambiguated ID Type / Status
Subject Okemos E272734 entity
Predicate locatedNearRiver P165 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: [Okemos, locatedNearRiver, Red Cedar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Cedar River
Context triple: [Okemos, locatedNearRiver, 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. Elm River
    Elm River is a lesser-known tributary waterway that feeds into the James River within its watershed.
  • D. Lake River
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • E. Kinnickinnic River
    The Kinnickinnic River is an urban waterway in southeastern Wisconsin that flows through Milwaukee 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db2f4b08190801de1b773932f59 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f416f5e0588190b432a48bbbc6c762 completed May 1, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:36 p.m.