Triple

T14169318
Position Surface form Disambiguated ID Type / Status
Subject Ogle County E351163 entity
Predicate containsCity P294 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, containsCity, Oregon, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon, Illinois
Context triple: [Ogle County, containsCity, 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. Orion, Illinois
    Orion, Illinois is a small rural village located in Henry County in the northwestern part of the state.
  • D. De Land, Illinois
    De Land, Illinois is a small rural village located in central Illinois within Piatt County.
  • E. Washington, Illinois
    Washington, Illinois is a small city in Tazewell County known as a residential community within the Peoria metropolitan area in central Illinois.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1 a.m.