Triple

T37580219
Position Surface form Disambiguated ID Type / Status
Subject Ford Parkway corridor E934935 entity
Predicate supportsTransitType P192554 FINISHED
Object local bus routes 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: local bus routes | Statement: [Ford Parkway corridor, supportsTransitType, local bus routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTransitType
Context triple: [Ford Parkway corridor, supportsTransitType, local bus routes]
  • A. hasTransitServiceType chosen
    Indicates that a transit service is associated with a specific type or category of service (e.g., bus, rail, express).
  • B. supportsMobilityType
    Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
  • C. appliesToTransitSystem
    Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
  • D. hasTransitAccessTo
    Indicates that one place or entity is reachable from another via public or shared transportation services.
  • 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.

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_69f76ece61dc8190a0ab33f8d87d0a7e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.