Triple

T6070810
Position Surface form Disambiguated ID Type / Status
Subject Cole Park area E135274 entity
Predicate hasTypeOfTransportationAccess P37966 FINISHED
Object pedestrian access to Katy Trail 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: pedestrian access to Katy Trail | Statement: [Cole Park area, hasTypeOfTransportationAccess, pedestrian access to Katy Trail]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTransportationAccess
Context triple: [Cole Park area, hasTypeOfTransportationAccess, pedestrian access to Katy Trail]
  • A. hasVehicleAccess
    Indicates that an entity is permitted to use or enter a particular vehicle.
  • B. transportModeAccess chosen
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • C. hasTransportationRelation
    Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
  • D. hasPrimaryVehicularAccessTo
    Indicates that one location or entity serves as the main route or means by which vehicles can reach or enter another location or entity.
  • E. hasTransportationContext
    Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05742867481908e3f45c875807c73 completed March 22, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69c049f21fe08190995df3c5c05fb8ea completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:10 p.m.