Triple

T19873506
Position Surface form Disambiguated ID Type / Status
Subject WHO-FIC E477579 entity
Predicate includes P1393 FINISHED
Object ICD NE NERFINISHED

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: ICD | Statement: [WHO-FIC, includes, ICD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICD
Context triple: [WHO-FIC, includes, ICD]
  • A. ICD chosen
    ICD is the World Health Organization’s global standard system for classifying diseases and related health conditions for clinical, epidemiological, and statistical purposes.
  • B. ICD
    ICD is the sovereign wealth fund of the Government of Dubai, managing a diversified global portfolio of strategic and commercial investments.
  • C. ICF
    ICF (International Classification of Functioning, Disability and Health) is a World Health Organization framework and classification system for describing and measuring health and disability in individuals and populations.
  • D. ICF
    ICF is the commonly used abbreviation for the International Canoe Federation, the global governing body for canoeing and kayaking sports.
  • E. ICF
    ICF is the Honduran government agency responsible for managing and conserving the country’s forests and protected natural areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.