Triple

T6003363
Position Surface form Disambiguated ID Type / Status
Subject Trulicity E133647 entity
Predicate hasATCCode P23151 FINISHED
Object A10BJ05
A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
 E561028 NE FINISHED

How this triple was built (4 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: A10BJ05 | Statement: [Trulicity, hasATCCode, A10BJ05]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A10BJ05
Context triple: [Trulicity, hasATCCode, A10BJ05]
  • A. A109BA
    The A109BA is a Belgian military variant of the Agusta A109 light twin-engine helicopter used primarily for utility, liaison, and training roles.
  • B. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • C. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • D. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • E. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: A10BJ05
Triple: [Trulicity, hasATCCode, A10BJ05]
Generated description
A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A10BJ05
Target entity description: A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
  • A. A109BA
    The A109BA is a Belgian military variant of the Agusta A109 light twin-engine helicopter used primarily for utility, liaison, and training roles.
  • B. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • C. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • D. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • E. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • F. None of above. chosen

Provenance (5 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f0f63148190826198281dce3713 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088f5c84819094e4696c24c4dd79 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.