Triple
T34091344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nav1.1 sodium channel |
E874308
|
entity |
| Predicate | hasTransmembraneSegments |
P39646
|
FINISHED |
| Object | four domains each with six transmembrane segments |
—
|
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: four domains each with six transmembrane segments | Statement: [Nav1.1 sodium channel, hasTransmembraneSegments, four domains each with six transmembrane segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransmembraneSegments Context triple: [Nav1.1 sodium channel, hasTransmembraneSegments, four domains each with six transmembrane segments]
-
A.
hasTransmembraneDomains
chosen
Indicates that an entity (typically a protein) possesses one or more regions that span across a biological membrane.
-
B.
hasOuterMembrane
Indicates that an entity possesses an outer membrane surrounding its main cellular or structural body.
-
C.
membraneType
Indicates the specific kind or classification of membrane associated with an entity.
-
D.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
E.
hasGlidingMembrane
Indicates that an entity possesses a specialized membrane or skin fold used to glide through the air.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 1, 2026, 1:52 a.m.