Triple

T19263617
Position Surface form Disambiguated ID Type / Status
Subject Quiet Dell, West Virginia E481710 entity
Predicate county P75 FINISHED
Object Harrison 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: Harrison County | Statement: [Quiet Dell, West Virginia, county, Harrison County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrison County
Context triple: [Quiet Dell, West Virginia, county, Harrison County]
  • A. Harrison County
    Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
  • B. Harrison County
    Harrison County is a coastal county in southern Mississippi known for its tourism, casinos, and the cities of Biloxi and Gulfport.
  • C. Harrison County
    Harrison County is an East Texas county in the United States, historically significant for its role in the antebellum South and centered around its county seat, Marshall.
  • D. Harrison County chosen
    Harrison County is a county in north-central West Virginia known for its mix of small cities, historic communities, and role in the state's energy and manufacturing sectors.
  • E. Hancock County
    Hancock County is a coastal county in southern Mississippi known for its Gulf of Mexico shoreline, small communities like Bay St. Louis and Waveland, and vulnerability to major hurricanes such as Katrina.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8bce6881908395836960762672 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.