Triple
T22888992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYP2C19 |
E567681
|
entity |
| Predicate | highExpressionSite |
P92779
|
FINISHED |
| Object | liver |
—
|
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: liver | Statement: [CYP2C19, highExpressionSite, liver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highExpressionSite Context triple: [CYP2C19, highExpressionSite, liver]
-
A.
otherHighPeaks
Indicates that an entity is associated with additional nearby or related high mountain peaks beyond a primary or reference peak.
-
B.
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.
-
C.
primarySites
Indicates the main or originating locations associated with an entity, often distinguishing them from secondary or related sites.
-
D.
highestOrgan
Indicates that one entity is the organ with the highest rank, level, or position within a specified system or hierarchy relative to another entity.
-
E.
tissueExpression
chosen
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.
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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc37a448190996e106aacc900f4 |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.