Triple

T21967500
Position Surface form Disambiguated ID Type / Status
Subject Traditional Chinese medicine E542496 entity
Predicate treatmentPrinciple P146734 FINISHED
Object pattern differentiation 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: pattern differentiation | Statement: [Traditional Chinese medicine, treatmentPrinciple, pattern differentiation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatmentPrinciple
Context triple: [Traditional Chinese medicine, treatmentPrinciple, pattern differentiation]
  • A. treatmentOf
    Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
  • B. treatment
    Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
  • C. principleClarified
    Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
  • D. subjectTreatment
    Indicates that a subject is receiving, undergoing, or being administered a particular treatment or therapeutic intervention.
  • E. primaryTreatment
    Indicates that a specified treatment is the main or first-line intervention used to address a particular condition or problem, as opposed to secondary or adjunctive treatments.
  • F. None of above. chosen

Provenance (4 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245c5d148190af2a06190ba32feb completed April 28, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69e6f601f2188190893bcdde0cf58ad6 completed April 21, 2026, 3:58 a.m.
PDg Predicate description generation batch_69e6fb9b75308190addc3dba7b5d5ddd completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 8:01 p.m.