Triple
T33205659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cytochrome P450 reductase |
E850009
|
entity |
| Predicate | isMembraneBound |
P39646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [cytochrome P450 reductase, isMembraneBound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMembraneBound Context triple: [cytochrome P450 reductase, isMembraneBound, true]
-
A.
membraneType
Indicates the specific kind or classification of membrane associated with an entity.
-
B.
hasTransmembraneDomains
chosen
Indicates that an entity (typically a protein) possesses one or more regions that span across a biological membrane.
-
C.
membraneLipidType
Indicates the specific type or class of lipid that composes or is associated with a membrane.
-
D.
hasGlidingMembrane
Indicates that an entity possesses a specialized membrane or skin fold used to glide through the air.
-
E.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.