Triple

T20179130
Position Surface form Disambiguated ID Type / Status
Subject Burlington Route E492678 entity
Predicate servedCity P3936 FINISHED
Object Galesburg, 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: Galesburg, Illinois | Statement: [Burlington Route, servedCity, Galesburg, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galesburg, Illinois
Context triple: [Burlington Route, servedCity, 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
    Galesburg is a small unincorporated community located in the U.S. state of Missouri.
  • C. Gladstone, Illinois
    Gladstone, Illinois is a small village in western Illinois situated along the Mississippi River in Henderson County.
  • D. East Galesburg, Illinois
    East Galesburg, Illinois is a small village in Knox County that forms part of the Galesburg micropolitan area in western Illinois.
  • E. Galesburg, Missouri
    Galesburg, Missouri is a small unincorporated rural community located in Jasper County in the southwestern part of the state.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.