Triple

T2630866
Position Surface form Disambiguated ID Type / Status
Subject Central Illinois E59627 entity
Predicate contains P35 FINISHED
Object Galesburg, Illinois E150138 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: Galesburg, Illinois | Statement: [Central Illinois, contains, Galesburg, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galesburg, Illinois
Context triple: [Central Illinois, contains, Galesburg, Illinois]
  • A. Galesburg, Illinois chosen
    Galesburg, Illinois is a small Midwestern city known for its railroad heritage, historic downtown, and as the home of Knox College.
  • B. Galesburg, Missouri
    Galesburg, Missouri is a small unincorporated rural community located in Jasper County in the southwestern part of the state.
  • C. Lansing, Illinois
    Lansing, Illinois is a suburban village in the south suburbs of Chicago known for its residential character and proximity to major transportation routes.
  • D. Geneva, Illinois
    Geneva, Illinois is a historic suburban city along the Fox River in the Chicago metropolitan area, known for its charming downtown, preserved architecture, and vibrant community events.
  • E. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c567408190b94ff047efa4bc06 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a7021081909f81c4ddb48fa00c completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.