Triple

T13955515
Position Surface form Disambiguated ID Type / Status
Subject Summit, Illinois E335646 entity
Predicate adjacentTo P224 FINISHED
Object Stickney, Illinois E316337 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: Stickney, Illinois | Statement: [Summit, Illinois, adjacentTo, Stickney, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stickney, Illinois
Context triple: [Summit, Illinois, adjacentTo, Stickney, Illinois]
  • A. Stickney, Illinois chosen
    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.
  • B. Steger, Illinois
    Steger, Illinois is a suburban village in the Chicago metropolitan area that spans both Will and Cook counties.
  • C. Watseka, Illinois
    Watseka, Illinois is a small city in Iroquois County that serves as the county seat and a local agricultural and commercial center in eastern Illinois.
  • 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. Matteson, Illinois
    Matteson, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities and retail centers.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff677935408190a28af4cd34d82aa4 completed May 9, 2026, 4:57 p.m.
Created at: April 9, 2026, 10:17 p.m.