Triple
T10086146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignicoccus hospitalis |
E215224
|
entity |
| Predicate | cellDivisionSite |
P68685
|
FINISHED |
| Object | inner membrane |
—
|
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: inner membrane | Statement: [Ignicoccus hospitalis, cellDivisionSite, inner membrane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellDivisionSite Context triple: [Ignicoccus hospitalis, cellDivisionSite, inner membrane]
-
A.
cellDivisionMachinery
Indicates the cellular components and processes that carry out and regulate the physical division of a cell into two daughter cells.
-
B.
cellularOrganization
Indicates how the components within a biological cell are structured, arranged, and functionally organized in relation to one another.
-
C.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
D.
subcellularLocation
chosen
Indicates the specific location or compartment within a cell where an entity (such as a molecule or structure) is situated or functions.
-
E.
cellularComponent
Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:01 p.m.