Triple
T23399767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JC virus |
E559470
|
entity |
| Predicate | oncogenicPotential |
P113307
|
FINISHED |
| Object | possible |
—
|
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: possible | Statement: [JC virus, oncogenicPotential, possible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oncogenicPotential Context triple: [JC virus, oncogenicPotential, possible]
-
A.
hasMalignantPotential
chosen
Indicates that the subject has the capacity or tendency to become malignant or develop harmful, cancerous characteristics.
-
B.
genomicAlteration
Indicates a relationship where an entity has undergone a change or mutation in its genetic material compared to a reference genome.
-
C.
isTumorAgnostic
Indicates that a treatment, biomarker, or effect applies across multiple tumor types regardless of the cancer’s tissue or organ of origin.
-
D.
usedAsBiomarkerFor
Indicates that one entity serves as a biomarker for another entity, typically signaling the presence, progression, or risk of a specific condition or biological state.
-
E.
hasPrognosticFactor
Indicates that something serves as a factor influencing or predicting the likely outcome or course of a condition, event, or situation.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.