Triple

T14324463
Position Surface form Disambiguated ID Type / Status
Subject Duly Health and Care Field E355179 entity
Predicate city P40 FINISHED
Object Joliet 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 | Statement: [Duly Health and Care Field, city, Joliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joliet
Context triple: [Duly Health and Care Field, city, Joliet]
  • 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. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • C. Peoria
    The Peoria are a Native American people originally from the Illinois River valley and part of the Illinois (Illiniwek) Confederation.
  • D. St. Joseph, Illinois
    St. Joseph, Illinois is a small Midwestern village located in east-central Illinois, known for its close-knit community and proximity to the city of Champaign.
  • E. 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.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883d1de88190a1e2bf2f1b692197 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ebbc67c8190bd930a2773edb5b2 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 1:13 a.m.