Triple

T6307317
Position Surface form Disambiguated ID Type / Status
Subject Venturia inaequalis E141409 entity
Predicate genus P87 FINISHED
Object Venturia
Venturia is a genus of plant-pathogenic fungi best known for species that cause scab diseases on various plants, including apples.
E585263 NE FINISHED

How this triple was built (4 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: Venturia | Statement: [Venturia inaequalis, genus, Venturia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venturia
Context triple: [Venturia inaequalis, genus, Venturia]
  • A. Venturia inaequalis
    Venturia inaequalis is a fungal plant pathogen best known as the causal agent of apple scab, a major disease affecting apple trees worldwide.
  • B. Ceratocystis
    Ceratocystis is a genus of plant-pathogenic fungi known for causing wilt and canker diseases in a wide range of trees and crops.
  • C. Ophiostoma ulmi
    Ophiostoma ulmi is a pathogenic fungus best known for causing the devastating tree epidemic known as Dutch elm disease.
  • D. Raffaelea
    Raffaelea is a genus of fungi known for its symbiotic associations with bark beetles and its role in causing plant diseases such as laurel wilt.
  • E. Ophiostoma
    Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Venturia
Triple: [Venturia inaequalis, genus, Venturia]
Generated description
Venturia is a genus of plant-pathogenic fungi best known for species that cause scab diseases on various plants, including apples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Venturia
Target entity description: Venturia is a genus of plant-pathogenic fungi best known for species that cause scab diseases on various plants, including apples.
  • A. Venturia inaequalis
    Venturia inaequalis is a fungal plant pathogen best known as the causal agent of apple scab, a major disease affecting apple trees worldwide.
  • B. Ceratocystis
    Ceratocystis is a genus of plant-pathogenic fungi known for causing wilt and canker diseases in a wide range of trees and crops.
  • C. Ophiostoma ulmi
    Ophiostoma ulmi is a pathogenic fungus best known for causing the devastating tree epidemic known as Dutch elm disease.
  • D. Raffaelea
    Raffaelea is a genus of fungi known for its symbiotic associations with bark beetles and its role in causing plant diseases such as laurel wilt.
  • E. Ophiostoma
    Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
  • F. None of above. chosen

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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647b69f08190bb085f9b700f6453 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44c11f48190a8c3c36172cd8da0 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5edd0f9348190a17d00f402e2cdad completed March 27, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee31ea6881908e30911ccf447400 completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:28 p.m.