Triple

T6307156
Position Surface form Disambiguated ID Type / Status
Subject Hypocreales E141404 entity
Predicate hasMember P10 FINISHED
Object Nectria
Nectria is a genus of fungi in the order Hypocreales, many species of which are known as plant pathogens causing cankers and other diseases on trees and crops.
 E585259 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: Nectria | Statement: [Hypocreales, hasMember, Nectria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nectria
Context triple: [Hypocreales, hasMember, Nectria]
  • A. Plectosphaerella
    Plectosphaerella is a genus of ascomycete fungi that includes several plant-associated species, some of which are known as soilborne pathogens of crops.
  • 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 piceae
    Ophiostoma piceae is a species of sap-staining fungus commonly associated with coniferous trees and known for causing blue stain in lumber.
  • D. Ophiostoma
    Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
  • E. 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.
  • 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: Nectria
Triple: [Hypocreales, hasMember, Nectria]
Generated description
Nectria is a genus of fungi in the order Hypocreales, many species of which are known as plant pathogens causing cankers and other diseases on trees and crops.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nectria
Target entity description: Nectria is a genus of fungi in the order Hypocreales, many species of which are known as plant pathogens causing cankers and other diseases on trees and crops.
  • A. Plectosphaerella
    Plectosphaerella is a genus of ascomycete fungi that includes several plant-associated species, some of which are known as soilborne pathogens of crops.
  • 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 piceae
    Ophiostoma piceae is a species of sap-staining fungus commonly associated with coniferous trees and known for causing blue stain in lumber.
  • D. Ophiostoma
    Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
  • E. 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.
  • 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.