Triple
T10214789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYP3A4 |
E242412
|
entity |
| Predicate | isoformNumber |
P92781
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [CYP3A4, isoformNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isoformNumber Context triple: [CYP3A4, isoformNumber, 4]
-
A.
minorIsoform
Indicates that one biological isoform is a less prevalent or secondary variant relative to another isoform.
-
B.
alternativeSplicingFeature
Indicates that a genomic region or element participates in an alternative splicing event, distinguishing it as a feature involved in generating splice variants.
-
C.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
D.
uniprotId
Indicates that an entity is associated with a specific UniProt database identifier for a protein.
-
E.
ISONumber
Indicates that an entity is associated with, identified by, or conforms to a specific ISO (International Organization for Standardization) number or standard.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa273bdc8190bc4cf67a7923cebc |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 11:04 a.m.