Triple

T8693408
Position Surface form Disambiguated ID Type / Status
Subject Lake Park High School District 108 E206345 entity
Predicate serviceArea P82 FINISHED
Object Roselle, Illinois E51152 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: Roselle, Illinois | Statement: [Lake Park High School District 108, serviceArea, Roselle, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roselle, Illinois
Context triple: [Lake Park High School District 108, serviceArea, Roselle, Illinois]
  • A. Roselle, Illinois chosen
    Roselle, Illinois is a suburban village in the Chicago metropolitan area known for its residential neighborhoods and location within DuPage and Cook counties.
  • B. Ivesdale, Illinois
    Ivesdale, Illinois is a small rural village located in central Illinois within Champaign County.
  • C. 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.
  • D. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • E. Thayer, Illinois
    Thayer, Illinois is a small village located in central Illinois within the Springfield metropolitan area.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5826bbb48190a212fb1bb06e05e6 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316e50b548190b5f90a9753ad7cb0 completed April 6, 2026, 2:13 a.m.
Created at: March 30, 2026, 6:33 p.m.