Triple

T4655309
Position Surface form Disambiguated ID Type / Status
Subject Beach Park, Illinois E102393 entity
Predicate adjacentTo P224 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: [Beach Park, Illinois, adjacentTo, Zion, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion, Illinois
Context triple: [Beach Park, Illinois, adjacentTo, 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6317ba70819089145766d3462e57 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0276db4e8819090ece339aba3a13b completed March 22, 2026, 5:31 p.m.
Created at: March 20, 2026, 1:14 p.m.