Triple

T6004752
Position Surface form Disambiguated ID Type / Status
Subject onasemnogene abeparvovec E133681 entity
Predicate hasStorageCondition P46120 FINISHED
Object frozen 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: frozen | Statement: [onasemnogene abeparvovec, hasStorageCondition, frozen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStorageCondition
Context triple: [onasemnogene abeparvovec, hasStorageCondition, frozen]
  • A. hasCondition
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • B. hasPreservationConditions chosen
    Indicates the specific environmental or handling conditions required to properly preserve or maintain an entity.
  • C. hasViewingConditions
    Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
  • D. isMajorStorageFor
    Indicates that one entity serves as the primary or main storage location or repository for another entity.
  • E. storageCapacity
    Indicates the maximum amount of data or material that a storage entity can hold.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f10d18081908c351170b7f58d3d completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e3316c819087ea635fa7ee8472 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:06 p.m.