Triple

T19253346
Position Surface form Disambiguated ID Type / Status
Subject Little Egypt E481449 entity
Predicate contains P35 FINISHED
Object Mount Vernon, 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: Mount Vernon, Illinois | Statement: [Little Egypt, contains, Mount Vernon, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon, Illinois
Context triple: [Little Egypt, contains, Mount Vernon, Illinois]
  • A. Mount Vernon, Illinois chosen
    Mount Vernon, Illinois is a small city in southern Illinois that serves as the county seat of Jefferson County and a regional hub for transportation and commerce.
  • B. Monticello, Illinois
    Monticello, Illinois is a small central Illinois city known as the administrative and commercial hub of Piatt County.
  • C. Braidwood, Illinois
    Braidwood, Illinois is a small city in northeastern Illinois known historically as a coal mining community and later for hosting the Braidwood Nuclear Generating Station.
  • D. Williamsfield, Illinois
    Williamsfield, Illinois is a small rural village located in Knox County in the western part of the state.
  • E. Buena Vista, Illinois
    Buena Vista, Illinois is a small unincorporated community located in rural Stephenson County in northern Illinois.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3339648190a87d38ce42aff016 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.