Triple

T18383655
Position Surface form Disambiguated ID Type / Status
Subject Paducah E446521 entity
Predicate isCountySeatOf P383 FINISHED
Object McCracken 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: McCracken County | Statement: [Paducah, isCountySeatOf, McCracken County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCracken County
Context triple: [Paducah, isCountySeatOf, McCracken County]
  • A. McCracken County chosen
    McCracken County is a county in western Kentucky best known for its seat, the river city of Paducah, a regional hub for commerce, healthcare, and education.
  • B. Meade County
    Meade County is a county in western South Dakota known for its paleontological sites and proximity to the Black Hills region.
  • C. Meade County
    Meade County is a county-level jurisdiction in the U.S. state of Kentucky, with Brandenburg serving as its county seat.
  • D. Logan County
    Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
  • E. Logan County
    Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179da1048190944398e229e7a4c1 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.