Triple

T38314855
Position Surface form Disambiguated ID Type / Status
Subject Sharh Tashrih al-Qanun E1033796 entity
Predicate focusesOnPartOf P69178 FINISHED
Object anatomical sections of the Canon of Medicine 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: anatomical sections of the Canon of Medicine | Statement: [Sharh Tashrih al-Qanun, focusesOnPartOf, anatomical sections of the Canon of Medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnPartOf
Context triple: [Sharh Tashrih al-Qanun, focusesOnPartOf, anatomical sections of the Canon of Medicine]
  • A. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. partCFocus chosen
    Indicates that a specific part or component of an entity is the primary focus or point of attention in a given context.
  • C. focusesBy
    Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
  • D. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • E. focusesOnSide
    Indicates that an action, attention, or analysis is directed specifically toward one particular side or aspect of something.
  • 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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd6f9d600c8190acf495b7fc632e4b completed May 8, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69fd6e98a2948190a9f78c415ad23b8c completed May 8, 2026, 5:03 a.m.
Created at: May 3, 2026, 4:30 p.m.