Triple

T11683286
Position Surface form Disambiguated ID Type / Status
Subject Monee, Illinois E277672 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: [Monee, Illinois, county, Will County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will County
Context triple: [Monee, Illinois, 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. Rock County
    Rock County is a county in southwestern Minnesota known for its agricultural landscape and small rural 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c1d31048190ab0a8d8e00515211 completed May 8, 2026, 2:36 a.m.
Created at: April 8, 2026, 9:40 p.m.