Triple

T1059050
Position Surface form Disambiguated ID Type / Status
Subject LaRue County E22863 entity
Predicate countySeat P383 FINISHED
Object Hodgenville E1483 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: Hodgenville | Statement: [LaRue County, countySeat, Hodgenville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hodgenville
Context triple: [LaRue County, countySeat, Hodgenville]
  • A. Hodgenville, Kentucky chosen
    Hodgenville, Kentucky is a small city in central Kentucky best known as the birthplace of U.S. President Abraham Lincoln.
  • B. Georgetown, Kentucky
    Georgetown, Kentucky is a growing small city in Scott County known for its historic downtown, proximity to Lexington, and major Toyota manufacturing plant.
  • C. Elizabethtown, Kentucky
    Elizabethtown, Kentucky is a small city in central Kentucky that serves as a regional hub for commerce, transportation, and services.
  • D. Harrodsburg, Kentucky
    Harrodsburg, Kentucky is a historic small city recognized as the oldest permanent English settlement west of the Allegheny Mountains and a key community in central Kentucky.
  • E. Radcliff, Kentucky
    Radcliff, Kentucky is a city in north-central Kentucky closely associated with the nearby Fort Knox military installation and serving as one of the main urban centers in the Elizabethtown–Fort Knox region.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd3400c8190b84e88073f19beba completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.