Triple

T11284555
Position Surface form Disambiguated ID Type / Status
Subject Defense Commissary Agency E267152 entity
Predicate abbreviation P43 FINISHED
Object DeCA
DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
 E915401 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: DeCA | Statement: [Defense Commissary Agency, abbreviation, DeCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DeCA
Context triple: [Defense Commissary Agency, abbreviation, DeCA]
  • A. DCA
    DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
  • B. DCA
    DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
  • C. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • D. CADE
    CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
  • E. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • 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: DeCA
Triple: [Defense Commissary Agency, abbreviation, DeCA]
Generated description
DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DeCA
Target entity description: DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
  • A. DCA
    DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
  • B. DCA
    DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
  • C. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • D. CADE
    CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
  • E. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
NEDg Description generation batch_69e4f95be4b08190bebb2078406cb7ba completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.