Triple

T574008
Position Surface form Disambiguated ID Type / Status
Subject Illinois E13723 entity
Predicate hasMajorCity P316 FINISHED
Object Joliet, Illinois E71725 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: Joliet, Illinois | Statement: [Illinois, hasMajorCity, Joliet, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joliet, Illinois
Context triple: [Illinois, hasMajorCity, Joliet, Illinois]
  • A. Joliet, Illinois chosen
    Joliet, Illinois is a mid-sized city southwest of Chicago known for its historic prison, riverfront, and role as a regional industrial and transportation hub.
  • B. Calumet City, Illinois
    Calumet City, Illinois is a suburban city in the Chicago metropolitan area known historically for its industrial roots and proximity to the Indiana state line.
  • C. West Chicago, Illinois
    West Chicago, Illinois is a suburban city in DuPage County known for its historic railroad roots and diverse residential community west of Chicago.
  • D. Waukegan, Illinois
    Waukegan, Illinois is an industrial port city on Lake Michigan in Lake County that serves as a northern suburb within the greater Chicago metropolitan area.
  • E. Elgin, Illinois
    Elgin, Illinois is a city in the northwest suburbs of Chicago known for its historic architecture, diverse population, and location along the Fox River.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4ae0988190bdd0ad428b784d85 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6ef6be388190b4a8da5795a19aaf completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:33 p.m.