Triple
T36599082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGFR |
E902872
|
entity |
| Predicate | oncogenicAlteration |
P97055
|
FINISHED |
| Object | gene amplification |
—
|
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: gene amplification | Statement: [EGFR, oncogenicAlteration, gene amplification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oncogenicAlteration Context triple: [EGFR, oncogenicAlteration, gene amplification]
-
A.
genomicAlteration
chosen
Indicates a relationship where an entity has undergone a change or mutation in its genetic material compared to a reference genome.
-
B.
alterationType
Indicates the specific kind or category of change or modification that has been applied to an entity or relationship.
-
C.
targetsGeneFusion
Indicates a relationship where an agent (such as a drug, therapy, or molecular mechanism) is directed specifically against a particular gene fusion.
-
D.
protectiveAlleleForDisease
Indicates that the presence of a specific allele reduces the risk, severity, or likelihood of developing a particular disease.
-
E.
overexpressionAssociatedWith
Indicates that an unusually high level of expression of one entity (such as a gene or protein) is associated with the presence, severity, or outcome of another entity or 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.