Triple

T12421304
Position Surface form Disambiguated ID Type / Status
Subject Bandera County E296777 entity
Predicate borders P224 FINISHED
Object Medina County E504315 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: Medina County | Statement: [Bandera County, borders, Medina County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina County
Context triple: [Bandera County, borders, Medina County]
  • A. Medina County
    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 chosen
    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 (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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349552fc81909fe73dea082e3a25 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.