Triple

T10297659
Position Surface form Disambiguated ID Type / Status
Subject Ogle County, Illinois E241537 entity
Predicate hasCountySeat P383 FINISHED
Object Oregon, Illinois E692834 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: Oregon, Illinois | Statement: [Ogle County, Illinois, hasCountySeat, Oregon, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon, Illinois
Context triple: [Ogle County, Illinois, hasCountySeat, Oregon, Illinois]
  • A. Oregon, Illinois chosen
    Oregon, Illinois is a small city along the Rock River in northern Illinois known for its historic downtown, scenic parks, and proximity to the Black Hawk Statue.
  • B. Como, Illinois
    Como, Illinois is a small unincorporated community in Whiteside County that forms part of the Sterling Micropolitan Statistical Area.
  • C. De Land, Illinois
    De Land, Illinois is a small rural village located in central Illinois within Piatt County.
  • D. Washington, Illinois
    Washington, Illinois is a small city in Tazewell County known as a residential community within the Peoria metropolitan area in central Illinois.
  • E. Roberts, Illinois
    Roberts, Illinois is a small rural village located in Ford County in central Illinois, United States.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d2cc9c48190bc36f6a4f8144b7f completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:43 a.m.