Triple

T3640950
Position Surface form Disambiguated ID Type / Status
Subject Springfield metropolitan area E77185 entity
Predicate contains P35 FINISHED
Object Riverton, Illinois E450435 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: Riverton, Illinois | Statement: [Springfield metropolitan area, contains, Riverton, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riverton, Illinois
Context triple: [Springfield metropolitan area, contains, Riverton, Illinois]
  • A. Riverton, Illinois chosen
    Riverton, Illinois is a small village in central Illinois that functions as a residential community near the state capital of Springfield.
  • B. Rutland, Illinois
    Rutland, Illinois is a small village located in north-central Illinois within LaSalle County.
  • C. Roselle, Illinois
    Roselle, Illinois is a suburban village in the Chicago metropolitan area known for its residential neighborhoods and location within DuPage and Cook counties.
  • D. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • E. Kewanee, Illinois
    Kewanee, Illinois is a small city in Henry County known historically for its agricultural roots and manufacturing, particularly in farm equipment and boilers.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfeceaa8b08190943f7b4291c8bf28 completed March 22, 2026, 1:21 p.m.
Created at: March 8, 2026, 3:24 p.m.