Triple

T11508325
Position Surface form Disambiguated ID Type / Status
Subject Kingston Parade E272842 entity
Predicate isPedestrianised P46481 FINISHED
Object true 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: true | Statement: [Kingston Parade, isPedestrianised, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPedestrianised
Context triple: [Kingston Parade, isPedestrianised, true]
  • A. hasPedestrianZoneStatus chosen
    Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
  • B. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • C. hasPedestrianArea
    Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
  • D. pedestrianRestrictions
    Indicates that there are specific rules or limitations governing where or how pedestrians may travel or access an area.
  • E. hasPedestrianPlazaOn
    Indicates that a pedestrian plaza is located on, or directly associated with, a specified surface, structure, or area.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db43a648190be859bec2fe9f43b completed April 10, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.