Triple
T38560850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ureaplasma |
E928072
|
entity |
| Predicate | membraneComponent |
P12468
|
FINISHED |
| Object | contains sterols |
—
|
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: contains sterols | Statement: [Ureaplasma, membraneComponent, contains sterols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membraneComponent Context triple: [Ureaplasma, membraneComponent, contains sterols]
-
A.
membraneType
Indicates the specific kind or classification of membrane associated with an entity.
-
B.
cellularComponent
Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
-
C.
cellWallComponent
Indicates that one entity is a molecular or structural component of the cell wall of the other entity.
-
D.
hasOuterMembrane
Indicates that an entity possesses an outer membrane surrounding its main cellular or structural body.
-
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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.