Triple

T3443755
Position Surface form Disambiguated ID Type / Status
Subject Waukegan, Illinois E72624 entity
Predicate locatedNear P294 FINISHED
Object Zion, Illinois E220889 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: Zion, Illinois | Statement: [Waukegan, Illinois, locatedNear, Zion, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion, Illinois
Context triple: [Waukegan, Illinois, locatedNear, Zion, Illinois]
  • A. Zion, Illinois chosen
    Zion, Illinois is a small city in northeastern Illinois near Lake Michigan, known for its planned religious origins and location between Chicago and Milwaukee.
  • B. Johnsburg, Illinois
    Johnsburg, Illinois is a small village in northeastern Illinois known as a residential community within the Chicago metropolitan area.
  • C. Zeigler, Illinois
    Zeigler, Illinois is a small city in Franklin County known as the birthplace of pioneering LED inventor Nick Holonyak Jr.
  • D. Stickney, Illinois
    Stickney, Illinois is a small suburban village in Cook County near Chicago, known for its residential character and proximity to major industrial and transportation corridors.
  • E. Winfield, Illinois
    Winfield, Illinois is a suburban village in the Chicago metropolitan area known for its residential character and proximity to major medical and forest preserve facilities.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1867a481908d3b1c72da4d2535 completed March 22, 2026, 9:44 a.m.
Created at: March 8, 2026, 3:16 p.m.