Triple

T16255180
Position Surface form Disambiguated ID Type / Status
Subject Museum Row on Main E394609 entity
Predicate locatedIn P40 FINISHED
Object Louisville E16402 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: Louisville | Statement: [Museum Row on Main, locatedIn, Louisville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisville
Context triple: [Museum Row on Main, locatedIn, Louisville]
  • A. Louisville
    Louisville is a historic town in eastern Georgia that briefly served as the state’s capital in the late 18th century.
  • B. Louisville
    Louisville is a small city in Colorado known for its high quality of life, historic downtown, and proximity to the Rocky Mountains.
  • C. Louisville, Kentucky chosen
    Louisville, Kentucky is the largest city in the state of Kentucky, known for the Kentucky Derby horse race, its historic bourbon distilleries, and its role as a major cultural and economic hub in the Ohio River Valley.
  • D. Paducah
    Paducah is a small riverfront city in western Kentucky known for its vibrant arts scene, historic downtown, and role as a regional cultural hub.
  • E. Paris, Kentucky
    Paris, Kentucky is a small historic city in Bourbon County known for its role in the heart of Kentucky’s Bluegrass horse country and its preserved 19th-century architecture.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24599861881908b9235f005d80a96 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.