Triple
T17093349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesicular stomatitis virus |
E414778
|
entity |
| Predicate | resemblesDisease |
P35666
|
FINISHED |
| Object | foot-and-mouth disease |
—
|
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: foot-and-mouth disease | Statement: [Vesicular stomatitis virus, resemblesDisease, foot-and-mouth disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resemblesDisease Context triple: [Vesicular stomatitis virus, resemblesDisease, foot-and-mouth disease]
-
A.
resembles
chosen
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
B.
mayBeComorbidWith
Indicates that two conditions or disorders can occur together in the same individual, potentially influencing each other’s presence or severity.
-
C.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
D.
differentialDiagnosisIncludes
Indicates that a differential diagnosis list for a case or condition contains a particular possible diagnosis as one of the considered alternatives.
-
E.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.