Triple

T16536549
Position Surface form Disambiguated ID Type / Status
Subject Tazewell County, Illinois E401706 entity
Predicate hasCity P316 FINISHED
Object Washington, Illinois NE NERFINISHED

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: Washington, Illinois | Statement: [Tazewell County, Illinois, hasCity, Washington, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington, Illinois
Context triple: [Tazewell County, Illinois, hasCity, Washington, Illinois]
  • A. Washington, Illinois chosen
    Washington, Illinois is a small city in Tazewell County known as a residential community within the Peoria metropolitan area in central Illinois.
  • B. Clinton, Illinois
    Clinton, Illinois is a small central Illinois city in DeWitt County known historically as a 19th-century railroad and agricultural community.
  • C. Pekin, Illinois
    Pekin, Illinois is a small city in central Illinois along the Illinois River, historically known for its manufacturing base and as the hometown of longtime U.S. Senator Everett Dirksen.
  • D. Davis, Illinois
    Davis, Illinois is a small rural village in northern Illinois located within Stephenson County.
  • E. Niles, Illinois
    Niles, Illinois is a suburban village northwest of Chicago known for its residential character and landmarks like its Leaning Tower replica.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
Created at: April 10, 2026, 5:15 a.m.