Triple

T5114933
Position Surface form Disambiguated ID Type / Status
Subject Memantine E115307 entity
Predicate legalStatusInEU P24563 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: [Memantine, legalStatusInEU, prescription only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInEU
Context triple: [Memantine, legalStatusInEU, prescription only]
  • A. legalStatusInEuropeanUnion chosen
    Indicates the legal status or standing that an entity holds within the jurisdictional framework of the European Union.
  • B. europeanUnionStatus
    Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
  • C. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • D. legalStatusAccordingToUkraine
    Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
  • E. marketingAuthorizationStatusInEU
    Indicates whether an entity has been granted, denied, suspended, or otherwise assigned a specific marketing authorization status within the European Union regulatory framework.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ce6044819094166aebf0688665 completed March 20, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69bd715fe3a8819087d3065adddba515 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:41 p.m.