Triple

T9021644
Position Surface form Disambiguated ID Type / Status
Subject CMI E215737 entity
Predicate near P350 FINISHED
Object Savoy, Illinois E167490 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: Savoy, Illinois | Statement: [CMI, near, Savoy, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savoy, Illinois
Context triple: [CMI, near, Savoy, Illinois]
  • A. Savoy, Illinois chosen
    Savoy, Illinois is a small village in Champaign County that functions as a residential suburb of the nearby cities of Champaign and Urbana.
  • B. Sibley, Illinois
    Sibley, Illinois is a small rural village located in Ford County in central Illinois, known for its agricultural surroundings and tight-knit community.
  • C. Somonauk, Illinois
    Somonauk, Illinois is a small village in northern Illinois known for its rural character and location spanning LaSalle and DeKalb counties.
  • D. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • E. Sauk Village, Illinois
    Sauk Village, Illinois is a small residential community located in the south suburban region of the Chicago metropolitan area.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d55585857c8190a4e4626a92197232 completed April 7, 2026, 7:05 p.m.
Created at: March 30, 2026, 7:07 p.m.