Triple

T29154718
Position Surface form Disambiguated ID Type / Status
Subject UniProtKB/TrEMBL E739005 entity
Predicate usesAnnotationSystem P138309 FINISHED
Object UniRule
UniRule is an automated annotation system used by UniProt to provide consistent, rule-based functional annotations for unreviewed protein sequences.
 E1852197 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UniRule
Triple: [UniProtKB/TrEMBL, usesAnnotationSystem, UniRule]
Generated description
UniRule is an automated annotation system used by UniProt to provide consistent, rule-based functional annotations for unreviewed protein sequences.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a255068d91c8190843dbe0ef8d63f1c completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554b16b8481908ffb9447fb3f35a5 completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e91cc0819081c9baa7e53d6f7e completed June 7, 2026, 11:41 a.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 28, 2026, 11:44 a.m.