Triple

T14549175
Position Surface form Disambiguated ID Type / Status
Subject Illinois Beach State Park E341367 entity
Predicate nearestCity P350 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: [Illinois Beach State Park, nearestCity, Zion, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion, Illinois
Context triple: [Illinois Beach State Park, nearestCity, 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. 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.
  • E. 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.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 1:23 a.m.