Triple

T1351608
Position Surface form Disambiguated ID Type / Status
Subject Fampyra E28893 entity
Predicate legalStatusEU P24563 FINISHED
Object prescription only 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: prescription only medicine | Statement: [Fampyra, legalStatusEU, prescription only medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusEU
Context triple: [Fampyra, legalStatusEU, prescription only medicine]
  • 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. marketingAuthorizationStatusInEU
    Indicates whether an entity has been granted, denied, suspended, or otherwise assigned a specific marketing authorization status within the European Union regulatory framework.
  • D. hasMemberInEEA
    Indicates that an entity has at least one member who is located in, based in, or belongs to the European Economic Area (EEA).
  • E. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69a4bef5857c81909ae984feb85a26ca completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.