Triple
T32870540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignicoccus |
E840776
|
entity |
| Predicate | outerMembraneType |
P135990
|
FINISHED |
| Object | energized outer 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: energized outer membrane | Statement: [Ignicoccus, outerMembraneType, energized outer membrane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerMembraneType Context triple: [Ignicoccus, outerMembraneType, energized outer membrane]
-
A.
membraneType
chosen
Indicates the specific kind or classification of membrane associated with an entity.
-
B.
membraneLipidType
Indicates the specific type or class of lipid that composes or is associated with a membrane.
-
C.
cellWallContainsPeptidoglycan
Indicates that the cell wall of an organism includes peptidoglycan as one of its structural components.
-
D.
mitochondrionType
Indicates the specific kind or classification of mitochondrion associated with an entity.
-
E.
hasTransmembraneDomains
Indicates that an entity (typically a protein) possesses one or more regions that span across a biological 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc177b288190904f3f23cb856d8b |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.