Triple

T6007075
Position Surface form Disambiguated ID Type / Status
Subject Township High School District 211 E133737 entity
Predicate servesCity P82 FINISHED
Object Inverness, Illinois E350668 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: Inverness, Illinois | Statement: [Township High School District 211, servesCity, Inverness, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inverness, Illinois
Context triple: [Township High School District 211, servesCity, Inverness, Illinois]
  • A. Inverness, Illinois chosen
    Inverness, Illinois is a small, affluent suburban village in Cook County known for its spacious residential lots, wooded landscapes, and proximity to Chicago’s northwest suburbs.
  • B. Irwin, Illinois
    Irwin, Illinois is a small rural village located in Kankakee County in northeastern Illinois.
  • C. Newark, Illinois
    Newark, Illinois is a small rural village in northern Illinois known for its agricultural surroundings and close-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. 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f13d9908190a11d9bef8652db93 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712707de88190b408ab01dd025954 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 4:06 p.m.