Triple

T23696940
Position Surface form Disambiguated ID Type / Status
Subject Dayton, Kentucky E585473 entity
Predicate servedByTransitFrom P133438 FINISHED
Object Cincinnati Metro and TANK regional systems LITERAL 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: Cincinnati Metro and TANK regional systems | Statement: [Dayton, Kentucky, servedByTransitFrom, Cincinnati Metro and TANK regional systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedByTransitFrom
Context triple: [Dayton, Kentucky, servedByTransitFrom, Cincinnati Metro and TANK regional systems]
  • A. servedByTransportation chosen
    Indicates that a location or entity is provided access or connection by a particular mode or service of transportation.
  • B. transportationServedBy
    Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
  • C. servesTransitFacility
    Indicates that one entity provides service or operational support to a transit facility, such as a station, stop, or terminal.
  • D. accessByBusFrom
    Indicates that one location can be reached from another location using a bus as the mode of transportation.
  • E. usedByTransitSystem
    Indicates that something is utilized or operated by a transit or public transportation system.
  • F. None of above.

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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b67f518481908d0f5b5e75b6ccd4 completed April 29, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:53 p.m.