Triple
T5508788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glomerellales |
E144509
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Colletotrichum
Colletotrichum is a genus of plant-pathogenic fungi known for causing anthracnose diseases on a wide range of crops and ornamental plants.
|
E531471
|
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: Colletotrichum | Statement: [Glomerellales, contains, Colletotrichum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colletotrichum Context triple: [Glomerellales, contains, Colletotrichum]
-
A.
Ceratocystis
Ceratocystis is a genus of plant-pathogenic fungi known for causing wilt and canker diseases in a wide range of trees and crops.
-
B.
Boehmeriopsis
Boehmeriopsis is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Asia and known for its herbaceous species.
-
C.
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.
-
D.
Ophiostoma
Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
-
E.
Phytophthora
Phytophthora is a genus of plant-pathogenic oomycetes known for causing devastating diseases such as late blight in potatoes and tomatoes.
- 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: Colletotrichum Triple: [Glomerellales, contains, Colletotrichum]
Generated description
Colletotrichum is a genus of plant-pathogenic fungi known for causing anthracnose diseases on a wide range of crops and ornamental plants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colletotrichum Target entity description: Colletotrichum is a genus of plant-pathogenic fungi known for causing anthracnose diseases on a wide range of crops and ornamental plants.
-
A.
Ceratocystis
Ceratocystis is a genus of plant-pathogenic fungi known for causing wilt and canker diseases in a wide range of trees and crops.
-
B.
Boehmeriopsis
Boehmeriopsis is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Asia and known for its herbaceous species.
-
C.
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.
-
D.
Ophiostoma
Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
-
E.
Phytophthora
Phytophthora is a genus of plant-pathogenic oomycetes known for causing devastating diseases such as late blight in potatoes and tomatoes.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4a80d88190bab0056c4c78be93 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c4b6c0819086c7c64911c7106e |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033db6ebc8190ab35c707b846426d |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0345cd5b88190855efd8c1bb94693 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.