Triple
T10292285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | human adenovirus serotype 26 |
E241391
|
entity |
| Predicate | vectorType |
P92931
|
FINISHED |
| Object | non-replicating adenoviral vector |
—
|
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: non-replicating adenoviral vector | Statement: [human adenovirus serotype 26, vectorType, non-replicating adenoviral vector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vectorType Context triple: [human adenovirus serotype 26, vectorType, non-replicating adenoviral vector]
-
A.
vector
Indicates that one entity is a vector associated with, representing, or characterizing another entity (such as a quantity with magnitude and direction, or a carrier/representative of something).
-
B.
vectorProcessing
Indicates performing operations or transformations on vectors, typically processing multiple numeric elements as a single structured unit.
-
C.
vectorLength
Indicates the numerical magnitude or size of a vector, typically computed from its components.
-
D.
hasVector
Indicates that an entity is associated with, or can be represented by, a specific vector in some vector space.
-
E.
dimensionVector
Indicates a vector that specifies the magnitudes or extents of an entity along multiple dimensions or measurement axes.
- F. None of above. chosen
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d35f048190a215493acdf1f718 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:42 a.m.