Triple
T28818192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epstein–Barr virus infection |
E727688
|
entity |
| Predicate | typicalClinicalSyndrome |
P72526
|
FINISHED |
| Object | infectious mononucleosis |
—
|
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: infectious mononucleosis | Statement: [Epstein–Barr virus infection, typicalClinicalSyndrome, infectious mononucleosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalClinicalSyndrome Context triple: [Epstein–Barr virus infection, typicalClinicalSyndrome, infectious mononucleosis]
-
A.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
B.
typicalClinicalSeverity
Indicates the usual or characteristic level of clinical severity associated with a condition, finding, or case.
-
C.
clinicalCondition
Indicates that one entity has, exhibits, or is associated with a particular medical or health-related condition described by the other entity.
-
D.
symptom
Indicates that a particular condition, disease, or problem manifests through a specific observable sign or complaint.
-
E.
hasTypicalConditions
chosen
Indicates that something is associated with conditions or circumstances that are commonly or normally present for it.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
Created at: April 28, 2026, 6:33 a.m.