Triple

T20604624
Position Surface form Disambiguated ID Type / Status
Subject Avondale station E506270 entity
Predicate hasBusTransferFacility P2423 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: [Avondale station, hasBusTransferFacility, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusTransferFacility
Context triple: [Avondale station, hasBusTransferFacility, yes]
  • A. hasBusInterchange chosen
    Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
  • B. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • C. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • D. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • E. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa233e1881908749d2f29c2946e4 completed April 20, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69e5a00c43308190b7ea58d559257e07 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:41 a.m.