Triple

T13335853
Position Surface form Disambiguated ID Type / Status
Subject Iron County E317689 entity
Predicate borders P224 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: [Iron County, borders, Kane County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kane County
Context triple: [Iron County, borders, 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 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.
  • E. Warren County
    Warren County is a county in western Mississippi known for its seat, the historic river city of Vicksburg, a key site in the American Civil War.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:30 p.m.