Triple

T11781606
Position Surface form Disambiguated ID Type / Status
Subject Pennyrile region E280158 entity
Predicate containsCity P294 FINISHED
Object Hopkinsville E163868 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: Hopkinsville | Statement: [Pennyrile region, containsCity, Hopkinsville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hopkinsville
Context triple: [Pennyrile region, containsCity, Hopkinsville]
  • A. Hopkinsville, Kentucky chosen
    Hopkinsville, Kentucky is a small city in southwestern Kentucky known for its proximity to the Fort Campbell military installation and its role as a regional commercial and agricultural center.
  • B. Cookeville
    Cookeville is a city in Tennessee known as a regional hub for education, healthcare, and commerce on the Cumberland Plateau.
  • C. Jonesboro
    Jonesboro is a small city in Clayton County, Georgia, known for its historic downtown and ties to the "Gone with the Wind" legacy.
  • D. Clarksville
    Clarksville is a rapidly growing city in northern Tennessee known for its proximity to Fort Campbell and its role as a regional economic and cultural center.
  • E. Clarksville
    Clarksville is a town in southern Indiana known for its proximity to Louisville, Kentucky, and its historic and commercial significance along the Ohio River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a58413048190b9e3b9d2f5383ec3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090c828f0819097662c048542b5da completed April 28, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:42 p.m.