Triple

T38281405
Position Surface form Disambiguated ID Type / Status
Subject Tibb al-Nabawi E1022088 entity
Predicate viewOnModernMedicine P25075 FINISHED
Object often practiced alongside biomedicine 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: often practiced alongside biomedicine | Statement: [Tibb al-Nabawi, viewOnModernMedicine, often practiced alongside biomedicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnModernMedicine
Context triple: [Tibb al-Nabawi, viewOnModernMedicine, often practiced alongside biomedicine]
  • A. viewOnIllness
    Indicates the perspective, belief, or attitude that one entity holds about the nature, cause, or meaning of an illness affecting another entity.
  • B. modernPractice
    Indicates that an entity engages in or reflects a contemporary, up-to-date way of doing something, following current methods, standards, or trends.
  • C. hasViewOnModernity chosen
    Indicates that an entity holds a particular perspective, stance, or interpretation regarding modernity.
  • D. medicalBackground
    Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
  • E. viewOnModernTranslations
    Indicates the stance or opinion someone holds regarding contemporary or current-language translations of a work.
  • 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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: May 3, 2026, 4:30 p.m.