Triple

T24489273
Position Surface form Disambiguated ID Type / Status
Subject Variola virus E617597 entity
Predicate associatedDisease P2830 FINISHED
Object Variola minor
Variola minor is a milder form of smallpox infection in humans, historically characterized by significantly lower mortality and less severe symptoms than classic variola major.
E617597 NE 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: Variola minor | Statement: [Variola virus, associatedDisease, Variola minor]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Variola minor
Triple: [Variola virus, associatedDisease, Variola minor]
Generated description
Variola minor is a milder form of smallpox infection in humans, historically characterized by significantly lower mortality and less severe symptoms than classic variola major.

Provenance (5 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a6deb3588190b92cd8aab6d2a89a completed April 30, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff84db8f081908c8211108309fa18 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff956f6e48190950c5bace85c9669 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa00b57081909bc69474734fcb20 completed May 22, 2026, 6:38 a.m.
Created at: April 18, 2026, 2:22 a.m.