Triple

T9665723
Position Surface form Disambiguated ID Type / Status
Subject W. H. Davies E233698 entity
Predicate causeOfPhysicalDisability P11973 FINISHED
Object lost right leg in a train-jumping accident in Canada — 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: lost right leg in a train-jumping accident in Canada | Statement: [W. H. Davies, causeOfPhysicalDisability, lost right leg in a train-jumping accident in Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfPhysicalDisability
Context triple: [W. H. Davies, causeOfPhysicalDisability, lost right leg in a train-jumping accident in Canada]
  • A. causeOfDisability chosen
    Indicates that one entity is the reason or source that brings about another entity’s disability.
  • B. disability
    Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
  • C. disabilityCategories
    Indicates that there is a relationship specifying which disability category or categories are associated with a given entity.
  • D. disabilitySport
    Indicates that an activity or competition is a sport specifically designed for or practiced by people with disabilities.
  • E. hasDisabilityRepresentation
    Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:14 p.m.