Triple

T4422207
Position Surface form Disambiguated ID Type / Status
Subject 1994 Winter Paralympics E95125 entity
Predicate typeOfDisability P148 FINISHED
Object physical impairment 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: physical impairment | Statement: [1994 Winter Paralympics, typeOfDisability, physical impairment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfDisability
Context triple: [1994 Winter Paralympics, typeOfDisability, physical impairment]
  • A. causeOfDisability
    Indicates that one entity is the reason or source that brings about another entity’s disability.
  • B. disability chosen
    Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
  • C. typeOfDiscrimination
    Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
  • D. wheelchairDivision
    Indicates that an entity participates in or is associated with a competition, league, or category specifically designated for wheelchair users.
  • E. typeOfResistance
    Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554a0e7c8190b704d00d07b1857d completed March 13, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.