Triple
T11074243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HER2 receptor |
E261824
|
entity |
| Predicate | overexpressionAssociatedWith |
P97054
|
FINISHED |
| Object | breast cancer |
—
|
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: breast cancer | Statement: [HER2 receptor, overexpressionAssociatedWith, breast cancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overexpressionAssociatedWith Context triple: [HER2 receptor, overexpressionAssociatedWith, breast cancer]
-
A.
targetsGene
Indicates that one entity is directed toward, acts upon, or is intended to affect a specific gene.
-
B.
expressedInCellType
Indicates that something (such as a gene, protein, or molecule) is expressed or present in a specified cell type.
-
C.
encodedByGene
Indicates that a particular gene is responsible for producing or specifying the sequence of a given molecule (such as a protein or RNA).
-
D.
developmentallyRegulatedBy
Indicates that the occurrence, level, or activity of one process or feature is controlled or influenced by developmental stage–specific mechanisms or factors.
-
E.
tissueExpression
Indicates the association between a biological entity (such as a gene or protein) and the specific tissue(s) in which it is expressed.
- F. None of above. chosen
Provenance (4 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994e32fc8190a6591d9e82b68f75 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.