Triple

T851172
Position Surface form Disambiguated ID Type / Status
Subject Will County, Illinois E18387 entity
Predicate containsVillage P4011 FINISHED
Object Matteson, Illinois E33876 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: Matteson, Illinois | Statement: [Will County, Illinois, containsVillage, Matteson, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteson, Illinois
Context triple: [Will County, Illinois, containsVillage, Matteson, Illinois]
  • A. Matteson, Illinois chosen
    Matteson, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities and retail centers.
  • B. Mattoon, Illinois
    Mattoon, Illinois is a small city in east-central Illinois known historically as a regional railroad hub and for its agricultural and manufacturing economy.
  • C. Steger, Illinois
    Steger, Illinois is a suburban village in the Chicago metropolitan area that spans both Will and Cook counties.
  • D. Mokena, Illinois
    Mokena, Illinois is a suburban village southwest of Chicago known for its residential communities, good schools, and location within Will County’s growing metropolitan area.
  • E. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69af2b3a21248190aca7710ae6ad6478 completed March 9, 2026, 8:19 p.m.
Created at: March 1, 2026, 7:38 p.m.