Triple

T1277264
Position Surface form Disambiguated ID Type / Status
Subject The Mall, London E27242 entity
Predicate pedestrianRestrictions P28318 FINISHED
Object often closed to traffic during major events 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: often closed to traffic during major events | Statement: [The Mall, London, pedestrianRestrictions, often closed to traffic during major events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pedestrianRestrictions
Context triple: [The Mall, London, pedestrianRestrictions, often closed to traffic during major events]
  • A. pedestrianOnly
    Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
  • B. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • C. pedestrianFriendly
    Indicates that an environment, route, or area is designed or suitable for safe, comfortable, and convenient use by pedestrians.
  • D. pedestriansCanCross
    Indicates that pedestrians are permitted or able to cross from one side of a specified location or path to the other.
  • E. hasPedestrianArea
    Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
  • F. None of above. chosen

Provenance (4 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c31400c08190a07ccb736df3bf54 completed March 1, 2026, 10:52 p.m.
Created at: March 1, 2026, 7:50 p.m.