Triple

T9165730
Position Surface form Disambiguated ID Type / Status
Subject Cornelius Public Library E219949 entity
Predicate fundedBy P67 FINISHED
Object Washington County unclear NED1 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: Washington County | Statement: [Cornelius Public Library, fundedBy, Washington County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington County
Context triple: [Cornelius Public Library, fundedBy, Washington County]
  • A. Washington County
    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 northwestern Oregon that includes the city of Hillsboro and forms part of the Portland metropolitan area.
  • C. Washington County
    Washington County is a county in southeastern Texas known as the “Birthplace of Texas” for its role in the signing of the Texas Declaration of Independence at Washington-on-the-Brazos.
  • D. Washington County
    Washington County is a county in southeastern Wisconsin that forms part of the suburban region northwest of Milwaukee.
  • E. Washington County
    Washington County is a county in northeastern Oklahoma, United States, known for its county seat Bartlesville and its role in the region’s oil industry history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa3055048190870211449c78fc4e completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d139a887b0819088485006f1653d1c completed April 4, 2026, 4:17 p.m.
Created at: March 30, 2026, 7:22 p.m.