Triple

T30223474
Position Surface form Disambiguated ID Type / Status
Subject GCRTA E768410 entity
Predicate hasParatransitServiceName P5908 FINISHED
Object RTA Paratransit
RTA Paratransit is a specialized, door-to-door public transportation service providing accessible rides for people with disabilities and mobility limitations in the Greater Cleveland area.
 E1905592 NE FINISHED

How this triple was built (3 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: RTA Paratransit | Statement: [GCRTA, hasParatransitServiceName, RTA Paratransit]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RTA Paratransit
Triple: [GCRTA, hasParatransitServiceName, RTA Paratransit]
Generated description
RTA Paratransit is a specialized, door-to-door public transportation service providing accessible rides for people with disabilities and mobility limitations in the Greater Cleveland area.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasParatransitServiceName
Context triple: [GCRTA, hasParatransitServiceName, RTA Paratransit]
  • A. paratransitSystemName chosen
    Indicates the name assigned to a specific paratransit transportation system or service.
  • B. hasTransitServiceType
    Indicates that a transit service is associated with a specific type or category of service (e.g., bus, rail, express).
  • C. paratransitEligibility
    Indicates that an individual meets the criteria to use specialized transportation services (paratransit) provided as an alternative to standard public transit.
  • D. hasPublicTransitServiceLevel
    Indicates the level or quality of public transit service provided to or available at a given location or entity.
  • E. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • F. None of above.

Provenance (6 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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdfbafe32081909c62653ff4fc155c completed May 8, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276440be9081909a80cd3699d7a613 completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a2764f2c6588190b88039903b3d891c completed June 9, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a27661767f081909e0291186c5d6778 completed June 9, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69fdf64db4a881908f8250e24ae3cefb completed May 8, 2026, 2:42 p.m.
Created at: April 29, 2026, 7:35 p.m.