Triple
T29154718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniProtKB/TrEMBL |
E739005
|
entity |
| Predicate | usesAnnotationSystem |
P138309
|
FINISHED |
| Object | UniRule |
—
|
NE NERFINISHED |
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: UniRule | Statement: [UniProtKB/TrEMBL, usesAnnotationSystem, UniRule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAnnotationSystem Context triple: [UniProtKB/TrEMBL, usesAnnotationSystem, UniRule]
-
A.
supportsAnnotations
chosen
Indicates that one entity is capable of holding, displaying, or working with annotations associated with another entity or its content.
-
B.
hasAspectSystem
Indicates that an entity possesses or is associated with a particular aspect system, such as a structured set of characteristics, dimensions, or perspectives.
-
C.
usesExpressionSystem
Indicates that one entity employs or relies on a particular expression system (e.g., a biological, genetic, or computational framework) to produce, express, or manipulate another entity.
-
D.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
E.
usesFilterSystem
Indicates that one entity employs or operates a filter system in relation to another entity or context.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 11:44 a.m.