Triple

T12134028
Position Surface form Disambiguated ID Type / Status
Subject DECCS electronic licensing portal E289005 entity
Predicate abbreviation P43 FINISHED
Object DECCS
DECCS is an online electronic licensing portal used to manage and process export control and compliance-related authorizations.
 E964014 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: DECCS | Statement: [DECCS electronic licensing portal, abbreviation, DECCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DECCS
Context triple: [DECCS electronic licensing portal, abbreviation, DECCS]
  • A. DCCED
    DCCED is the Alaska state government department responsible for promoting economic growth, supporting communities, and overseeing commerce-related activities.
  • B. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • C. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • D. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • E. DeCA
    DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
  • 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: DECCS
Triple: [DECCS electronic licensing portal, abbreviation, DECCS]
Generated description
DECCS is an online electronic licensing portal used to manage and process export control and compliance-related authorizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DECCS
Target entity description: DECCS is an online electronic licensing portal used to manage and process export control and compliance-related authorizations.
  • A. DCCED
    DCCED is the Alaska state government department responsible for promoting economic growth, supporting communities, and overseeing commerce-related activities.
  • B. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • C. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • D. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • E. DeCA
    DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.