Triple

T20288602
Position Surface form Disambiguated ID Type / Status
Subject Vienna, West Virginia E509956 entity
Predicate county P75 FINISHED
Object Wood County NE NERFINISHED

How this triple was built (3 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: Wood County | Statement: [Vienna, West Virginia, county, Wood County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wood County
Context triple: [Vienna, West Virginia, county, Wood County]
  • A. Wood County
    Wood County is a county in central Wisconsin known for its mix of small cities, agricultural areas, and paper industry heritage.
  • B. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • C. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • D. Emmet County
    Emmet County is a county in the northwestern Lower Peninsula of Michigan, known for its Lake Michigan shoreline, resort communities like Petoskey and Harbor Springs, and scenic natural landscapes.
  • E. Limestone County
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wood County
Target entity description: Wood County is a county in western West Virginia that includes the city of Vienna and is part of the Parkersburg metropolitan area along the Ohio River.
  • A. Wood County
    Wood County is a county in central Wisconsin known for its mix of small cities, agricultural areas, and paper industry heritage.
  • B. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • C. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • D. Emmet County
    Emmet County is a county in the northwestern Lower Peninsula of Michigan, known for its Lake Michigan shoreline, resort communities like Petoskey and Harbor Springs, and scenic natural landscapes.
  • E. Limestone County
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • F. None of above. chosen

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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6769414488190b38e07fd1e989aba completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:10 a.m.