Triple
T1891857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crenarchaeota |
E41890
|
entity |
| Predicate | cellMembrane |
P12468
|
FINISHED |
| Object | ether-linked isoprenoid lipids |
—
|
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: ether-linked isoprenoid lipids | Statement: [Crenarchaeota, cellMembrane, ether-linked isoprenoid lipids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellMembrane Context triple: [Crenarchaeota, cellMembrane, ether-linked isoprenoid lipids]
-
A.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
B.
cellularOrganization
Indicates how the components within a biological cell are structured, arranged, and functionally organized in relation to one another.
-
C.
cellWallComponent
Indicates that one entity is a molecular or structural component of the cell wall of the other entity.
-
D.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
E.
membraneLipidType
chosen
Indicates the specific type or class of lipid that composes or is associated with a membrane.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb145f96c8190a71bb9e442892e68 |
completed | March 7, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69abafe61bc48190ac9ead027df930e1 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.