Triple

T19952012
Position Surface form Disambiguated ID Type / Status
Subject North Ridgeville E479578 entity
Predicate adjacentTo P224 FINISHED
Object Olmsted Township NE NERFINISHED

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: Olmsted Township | Statement: [North Ridgeville, adjacentTo, Olmsted Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olmsted Township
Context triple: [North Ridgeville, adjacentTo, Olmsted Township]
  • A. Olmsted Township chosen
    Olmsted Township is a suburban community in Cuyahoga County, Ohio, known for its residential neighborhoods and proximity to the city of Cleveland.
  • B. Watertown Township
    Watertown Township is a civil township located in Clinton County in the U.S. state of Michigan.
  • C. Landis Township
    Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
  • D. Pulaski Township
    Pulaski Township is a civil township located in Jackson County in the U.S. state of Michigan.
  • E. Sylvania Township
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6c87388190a1bada3117acaf7b completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.