Triple

T11201327
Position Surface form Disambiguated ID Type / Status
Subject Wayne Route 23 Transit Center E265045 entity
Predicate hasBusLoops P48776 FINISHED
Object yes 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: yes | Statement: [Wayne Route 23 Transit Center, hasBusLoops, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusLoops
Context triple: [Wayne Route 23 Transit Center, hasBusLoops, yes]
  • A. hasBusLoop chosen
    Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
  • B. hasBusArchitecture
    Indicates that one entity uses, implements, or is characterized by a particular bus architecture in its design or operation.
  • C. hasBusBays
    Indicates that a location or facility is equipped with one or more designated bus bays for buses to stop, load, or unload passengers.
  • D. isLoop
    Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
  • E. hasStreetcarLoop
    Indicates that a location or facility includes a dedicated looped track or route specifically for streetcars to turn around or circulate.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf83464819087529d47d025d313 completed April 9, 2026, 8:02 a.m.
Created at: April 8, 2026, 9:29 p.m.