Triple

T10543645
Position Surface form Disambiguated ID Type / Status
Subject Wilmore, Kentucky E248757 entity
Predicate hasTransportation P105 FINISHED
Object Kentucky Route 29 E281549 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: Kentucky Route 29 | Statement: [Wilmore, Kentucky, hasTransportation, Kentucky Route 29]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentucky Route 29
Context triple: [Wilmore, Kentucky, hasTransportation, Kentucky Route 29]
  • A. Kentucky Route 29 chosen
    Kentucky Route 29 is a state highway in Kentucky that serves as a primary connector through Nicholasville and surrounding areas.
  • B. Kentucky Route 39
    Kentucky Route 39 is a state highway in Kentucky that connects the city of Nicholasville with other communities in the region.
  • C. Kentucky Route 33
    Kentucky Route 33 is a state highway in central Kentucky that connects the city of Versailles with other nearby communities and major routes.
  • D. Kentucky Route 237
    Kentucky Route 237 is a state highway in northern Kentucky that serves as a key local connector through Boone County, including the community of Hebron.
  • E. Kentucky Route 52
    Kentucky Route 52 is a state highway in Kentucky that runs east–west across several counties, connecting small towns and rural communities.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:32 p.m.