Triple

T19157754
Position Surface form Disambiguated ID Type / Status
Subject Ebanga E468968 entity
Predicate prescriptionStatus P68630 FINISHED
Object prescription only 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: prescription only | Statement: [Ebanga, prescriptionStatus, prescription only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prescriptionStatus
Context triple: [Ebanga, prescriptionStatus, prescription only]
  • A. prescribedIn
    Indicates that something (typically a medication, treatment, or procedure) has been formally ordered or recommended within a specific context, such as a prescription, order, or medical record.
  • B. isPrescriptionOnly chosen
    Indicates that the item can only be obtained or used when authorized by a licensed prescriber, such as through a formal prescription.
  • C. prescribedBy
    Indicates that something (typically a treatment, medication, or procedure) has been formally ordered or authorized by a specific agent, usually a medical professional.
  • D. hasPrescriptionStrength
    Indicates that a prescribed medication is associated with a specific dosage strength or concentration.
  • E. prescribedStatusForDissenters
    Indicates that a specific legal or formal status has been officially assigned to individuals or groups identified as dissenters.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeba91a081909c04d61d6117da06 completed April 20, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69e4b9b83d6881908e6271c620f74100 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.