Triple

T2619564
Position Surface form Disambiguated ID Type / Status
Subject Buchanan Street E58970 entity
Predicate pedestrianPriority P29277 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: [Buchanan Street, pedestrianPriority, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pedestrianPriority
Context triple: [Buchanan Street, pedestrianPriority, high]
  • A. hasPedestrianPriority chosen
    Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
  • B. pedestrianOnly
    Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
  • C. pedestrianFriendly
    Indicates that an environment, route, or area is designed or suitable for safe, comfortable, and convenient use by pedestrians.
  • D. pedestrianRestrictions
    Indicates that there are specific rules or limitations governing where or how pedestrians may travel or access an area.
  • E. pedestriansCanCross
    Indicates that pedestrians are permitted or able to cross from one side of a specified location or path to the other.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd80f48888190afdf7e3e042157d0 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.