Triple

T231747
Position Surface form Disambiguated ID Type / Status
Subject AeroTrain E4424 entity
Predicate accessibility P1710 FINISHED
Object wheelchair accessible 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: wheelchair accessible | Statement: [AeroTrain, accessibility, wheelchair accessible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessibility
Context triple: [AeroTrain, accessibility, wheelchair accessible]
  • A. accessible chosen
    Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
  • B. accessibleFrom
    Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
  • C. availability
    Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
  • D. disability
    Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
  • E. accessMode
    Indicates the manner or method by which an entity can be accessed, used, or interacted with.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b5a075081909b0e9b88c1492d5a completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.