Triple

T2513391
Position Surface form Disambiguated ID Type / Status
Subject Nelson County, Kentucky E52751 entity
Predicate hasCity P316 FINISHED
Object New Haven, Kentucky E329021 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: New Haven, Kentucky | Statement: [Nelson County, Kentucky, hasCity, New Haven, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Haven, Kentucky
Context triple: [Nelson County, Kentucky, hasCity, New Haven, Kentucky]
  • A. Middletown, Kentucky
    Middletown, Kentucky is a small suburban city in the Louisville metropolitan area known for its residential communities and local historic charm.
  • B. Jeffersontown, Kentucky
    Jeffersontown, Kentucky is a suburban city in the Louisville metropolitan area known for its residential communities and local commerce.
  • C. 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.
  • D. Bloomfield, Kentucky chosen
    Bloomfield, Kentucky is a small historic city located in central Kentucky that serves as one of the communities within Nelson County.
  • E. Wilmore, Kentucky
    Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2357438648190b2dc11ae9b568a15 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:46 p.m.