Triple

T5188100
Position Surface form Disambiguated ID Type / Status
Subject Ravinia Festival E117080 entity
Predicate transportationModeEncouraged P61975 FINISHED
Object public transit 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: public transit | Statement: [Ravinia Festival, transportationModeEncouraged, public transit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportationModeEncouraged
Context triple: [Ravinia Festival, transportationModeEncouraged, public transit]
  • A. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • B. policesModeOfTransport
    Indicates that an authority or entity enforces rules, regulations, or oversight concerning a particular mode of transport.
  • C. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • D. passesUsedForTransportation
    Indicates that the passes are utilized as a means or instrument for transporting people or goods.
  • E. appliesToTransportMode
    Indicates that a rule, condition, or characteristic is specifically associated with and relevant to a particular mode of transport.
  • F. None of above. chosen

Provenance (4 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b7e8b4819092ec3965e11f2dea completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd78d6a1388190804dcf568ca92129 completed March 20, 2026, 4:41 p.m.
Created at: March 20, 2026, 1:46 p.m.