Triple

T1169442
Position Surface form Disambiguated ID Type / Status
Subject Spinraza E24879 entity
Predicate legalStatusInEuropeanUnion 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: [Spinraza, legalStatusInEuropeanUnion, prescription only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInEuropeanUnion
Context triple: [Spinraza, legalStatusInEuropeanUnion, prescription only]
  • A. europeanUnionStatus
    Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
  • B. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • C. legalStatusAccordingToUkraine
    Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
  • 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. statusInUnitedStates
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb5656948190b0b1d5446ad06005 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbd7ff1881908c943ecdfea59e81 completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:45 p.m.