Triple

T17015186
Position Surface form Disambiguated ID Type / Status
Subject Millsboro, Pennsylvania, United States E412801 entity
Predicate hasCounty P285 FINISHED
Object Washington 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: Washington County | Statement: [Millsboro, Pennsylvania, United States, hasCounty, Washington County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington County
Context triple: [Millsboro, Pennsylvania, United States, hasCounty, Washington County]
  • A. Washington County chosen
    Washington County is a county in southwestern Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • B. Washington County
    Washington County is a county in southwestern Alabama known as the state's first county, established in 1800 during the Mississippi Territory period.
  • C. Washington County
    Washington County is a county in northwestern Oregon that includes the city of Hillsboro and forms part of the Portland metropolitan area.
  • D. Washington County
    Washington County is a rural county in the Florida Panhandle known for its forests, waterways, and small-town communities.
  • E. Washington County
    Washington County is a county in southwestern Utah known for its red rock landscapes, including parts of Zion National Park, and the rapidly growing city of St. George.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:33 a.m.