Triple

T10951999
Position Surface form Disambiguated ID Type / Status
Subject Half Way Tree E258746 entity
Predicate hasPublicTransportFacility P50401 FINISHED
Object bus terminal 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: bus terminal | Statement: [Half Way Tree, hasPublicTransportFacility, bus terminal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicTransportFacility
Context triple: [Half Way Tree, hasPublicTransportFacility, bus terminal]
  • A. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • B. hasPublicTransitInfrastructure chosen
    Indicates that a location or area is equipped with facilities and systems that support public transportation services (e.g., buses, trains, trams).
  • C. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • D. hasPublicTransitProvider
    Indicates that a place or region is served by a specific public transit operating organization or agency.
  • E. hasPublicTransitRoute
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fcfb3c8190b7823869670184a6 completed April 9, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.