Triple

T16852086
Position Surface form Disambiguated ID Type / Status
Subject Veklury E409698 entity
Predicate laterAuthorizationType P70275 FINISHED
Object full approval 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: full approval | Statement: [Veklury, laterAuthorizationType, full approval]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterAuthorizationType
Context triple: [Veklury, laterAuthorizationType, full approval]
  • A. typeOfAuthorization chosen
    Indicates the specific kind or category of authorization that applies to an action, resource, or relationship between entities.
  • B. authenticationType
    Indicates the method or mechanism used to verify and confirm an entity’s identity in an interaction or system.
  • C. subsequentAuthorityType
    Indicates the type or category of authority that follows or succeeds a prior authority in a sequence or hierarchy.
  • D. granteeType
    Indicates the classification or category of the entity that receives a grant or is granted a right, benefit, or permission.
  • E. usedToAuthorize
    Indicates that something serves as the basis or instrument for granting permission, approval, or official power to perform an action.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37abadc81909d02d329403497d6 completed April 18, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.