Triple

T3291503
Position Surface form Disambiguated ID Type / Status
Subject Elisha Gray E69110 entity
Predicate residence P75 FINISHED
Object Highland Park, Illinois E134465 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: Highland Park, Illinois | Statement: [Elisha Gray, residence, Highland Park, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Highland Park, Illinois
Context triple: [Elisha Gray, residence, Highland Park, Illinois]
  • A. Highland Park, Illinois chosen
    Highland Park, Illinois is an affluent suburban city on Chicago’s North Shore known for its historic homes, lakefront parks, and cultural attractions.
  • B. Highland Park
    Highland Park is a residential neighborhood located within Upper Darby Township in Delaware County, Pennsylvania.
  • C. Highland Park
    Highland Park is a public recreational park and local attraction in Meridian, Mississippi, offering green space and leisure amenities for residents and visitors.
  • D. Highland Park
    Highland Park is an affluent, independently governed town that forms an upscale enclave within the Dallas metropolitan area in Texas.
  • E. Highland Park
    Highland Park is a small borough in Middlesex County, New Jersey, known for its walkable residential neighborhoods and proximity to Rutgers University and the Raritan 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05d0c908190a927d1af78e27de0 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33419707881908535eadd65500bee completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:10 p.m.