Triple

T11570559
Position Surface form Disambiguated ID Type / Status
Subject Kane County Courthouse E274374 entity
Predicate county P75 FINISHED
Object Kane County E17057 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: Kane County | Statement: [Kane County Courthouse, county, Kane County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kane County
Context triple: [Kane County Courthouse, county, Kane County]
  • A. Will County
    Will County is a county in northeastern Illinois that includes the city of Joliet and forms part of the Chicago metropolitan area.
  • B. Kane County, Illinois chosen
    Kane County, Illinois is a suburban county west of Chicago that forms part of the greater Chicago metropolitan area.
  • C. 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.
  • D. Warren County
    Warren County is a county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular tourist destinations such as Lake George.
  • E. Warren County
    Warren County is a largely rural county in northwestern New Jersey known for its small towns, farmland, and role as a residential area for commuters in the New York metropolitan 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd543a48190b834abd8e8ae7b65 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf630a8819094455fc45a815b83 completed May 8, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:37 p.m.