Triple

T3385573
Position Surface form Disambiguated ID Type / Status
Subject St Paul’s Underground station E71292 entity
Predicate stepFreeAccess P3790 FINISHED
Object no 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: no | Statement: [St Paul’s Underground station, stepFreeAccess, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stepFreeAccess
Context triple: [St Paul’s Underground station, stepFreeAccess, no]
  • A. hasStepFreeAccess chosen
    Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
  • B. floorAccess
    Indicates that an entity is permitted to enter or use a specific floor or level within a building or structure.
  • C. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • D. isAccessibleForFreeParking
    Indicates that a location or facility can be used for parking without any cost.
  • E. isDifficultToAccessBecauseOf
    Indicates that something is hard to reach, obtain, or use due to a specified obstacle, condition, or circumstance.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.