Triple

T10887607
Position Surface form Disambiguated ID Type / Status
Subject Mokena E257088 entity
Predicate county P75 FINISHED
Object Will County E384617 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: Will County | Statement: [Mokena, county, Will County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will County
Context triple: [Mokena, county, Will County]
  • A. Will County chosen
    Will County is a county in northeastern Illinois that includes the city of Joliet and forms part of the Chicago metropolitan area.
  • B. 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.
  • C. Franklin County, Illinois
    Franklin County, Illinois is a rural county in southern Illinois known historically for its coal mining communities and small towns such as Benton and West Frankfort.
  • D. Whiteside County
    Whiteside County is a county in northwestern Illinois known for its mix of small rural communities and agricultural landscapes.
  • E. Sangamon County, Illinois
    Sangamon County, Illinois is a central Illinois county whose seat and largest city is Springfield, the state capital and home to numerous Abraham Lincoln historic sites.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75201e6888190a2bc41a17784eec3 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6af38e3548190a5192894932d9b1d completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:21 p.m.