Triple

T1954147
Position Surface form Disambiguated ID Type / Status
Subject Vienna/Fairfax–GMU station E42225 entity
Predicate hasBusBay P19782 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: [Vienna/Fairfax–GMU station, hasBusBay, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusBay
Context triple: [Vienna/Fairfax–GMU station, hasBusBay, yes]
  • A. hasBusBays chosen
    Indicates that a location or facility is equipped with one or more designated bus bays for buses to stop, load, or unload passengers.
  • B. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • C. hasBusInterchange
    Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
  • D. hasBusOperator
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • E. hasParking
    Indicates that a place or facility provides designated parking space(s) available for use.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb351c148819080173c09876e814a completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff3eda88190b643994cb4dfb8df completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.