Triple

T10155950
Position Surface form Disambiguated ID Type / Status
Subject Pioneer Place E233775 entity
Predicate publicTransitAccessibility P1288 FINISHED
Object high 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: high | Statement: [Pioneer Place, publicTransitAccessibility, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransitAccessibility
Context triple: [Pioneer Place, publicTransitAccessibility, high]
  • A. publicTransit chosen
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • B. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • C. hasTransitAccessTo
    Indicates that one place or entity is reachable from another via public or shared transportation services.
  • D. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • E. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.