Triple
T1242690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent mango |
E26692
|
entity |
| Predicate | diseaseSusceptibility |
P583
|
FINISHED |
| Object | anthracnose susceptible |
—
|
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: anthracnose susceptible | Statement: [Kent mango, diseaseSusceptibility, anthracnose susceptible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseSusceptibility Context triple: [Kent mango, diseaseSusceptibility, anthracnose susceptible]
-
A.
diseaseResistance
Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
-
B.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
C.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
D.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
E.
susceptibleTo
chosen
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf61fadc8190b7b9e23eaa15a61d |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.