Triple

T20202041
Position Surface form Disambiguated ID Type / Status
Subject SR 57 E493245 entity
Predicate passesThrough P225 FINISHED
Object Medina County 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: Medina County | Statement: [SR 57, passesThrough, Medina County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina County
Context triple: [SR 57, passesThrough, Medina County]
  • A. Medina County chosen
    Medina County is a suburban-rural county in northern Ohio known for its historic town squares, growing residential communities, and proximity to the Cleveland metropolitan area.
  • B. Medina County, Texas
    Medina County, Texas is a largely rural county in south-central Texas known for its agricultural economy, small towns, and proximity to the San Antonio metropolitan area.
  • C. Wood County
    Wood County is a county in central Wisconsin known for its mix of small cities, agricultural areas, and paper industry heritage.
  • D. Brown County
    Brown County is a county in northeastern Wisconsin that includes the city of Green Bay and operates various public facilities and services for its residents.
  • E. Brown County
    Brown County is a county in northeastern South Dakota that includes the city of Aberdeen as its county seat and primary population center.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8e0df481909c030e2a01d1862a completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.