Triple

T5923651
Position Surface form Disambiguated ID Type / Status
Subject Dart Dev Compiler E131753 entity
Predicate abbreviation P43 FINISHED
Object DDC
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
 E554862 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: DDC | Statement: [Dart Dev Compiler, abbreviation, DDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDC
Context triple: [Dart Dev Compiler, abbreviation, DDC]
  • A. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • B. DCC
    DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
  • C. DCC
    DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
  • D. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • E. DoDDS
    DoDDS is a school system operated by the U.S. Department of Defense to provide education for the children of military and civilian personnel stationed overseas.
  • 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: DDC
Triple: [Dart Dev Compiler, abbreviation, DDC]
Generated description
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDC
Target entity description: DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • A. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • B. DCC
    DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
  • C. DCC
    DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
  • D. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • E. DoDDS
    DoDDS is a school system operated by the U.S. Department of Defense to provide education for the children of military and civilian personnel stationed overseas.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03851189c819094524e8b5080545e completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1442eb48190bc67c77764116b17 completed March 23, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1c31b108190af16c66f6e8a4c25 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 4 p.m.