Triple

T16386520
Position Surface form Disambiguated ID Type / Status
Subject Grant Park, Illinois E397935 entity
Predicate county P75 FINISHED
Object Kankakee County E138880 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: Kankakee County | Statement: [Grant Park, Illinois, county, Kankakee County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kankakee County
Context triple: [Grant Park, Illinois, county, Kankakee County]
  • A. Kankakee County, Illinois chosen
    Kankakee County, Illinois is a county in northeastern Illinois known for its mix of agricultural land, small cities like Kankakee, and its location within the greater Chicago metropolitan area.
  • B. Williams County
    Williams County is a county in northwestern North Dakota known for its role in the Bakken oil region and its access to outdoor recreation along Lake Sakakawea.
  • C. Waushara County
    Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
  • D. Rock Island County
    Rock Island County is a county in northwestern Illinois along the Mississippi River, known for encompassing cities such as Moline and Rock Island.
  • E. Ogle County
    Ogle County is a predominantly rural county in northern Illinois known for its agricultural landscape and small communities.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecdffac81908ca03a88974203f9 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:08 a.m.