Triple

T22133022
Position Surface form Disambiguated ID Type / Status
Subject Northern West Virginia E546951 entity
Predicate includesCounty P5971 FINISHED
Object Preston 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: Preston County | Statement: [Northern West Virginia, includesCounty, Preston County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preston County
Context triple: [Northern West Virginia, includesCounty, Preston County]
  • A. Preston County chosen
    Preston County is a largely rural county in northern West Virginia known for its mountainous terrain, outdoor recreation, and small towns such as Terra Alta and Kingwood.
  • B. Pendleton County
    Pendleton County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small, close-knit communities.
  • C. Meade County
    Meade County is a county in western South Dakota known for its paleontological sites and proximity to the Black Hills region.
  • D. Meade County
    Meade County is a county-level jurisdiction in the U.S. state of Kentucky, with Brandenburg serving as its county seat.
  • E. Baingoin County
    Baingoin County is a high-altitude administrative county in the Tibet Autonomous Region of China, known for its vast grasslands and pastoral economy.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129b81d5c819085fd18bf3ae28333 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.