Triple

T12445245
Position Surface form Disambiguated ID Type / Status
Subject Deficit Reduction Act of 2005 E297380 entity
Predicate hasShortName P1354 FINISHED
Object DRA 2005
DRA 2005 is a U.S. federal law aimed at reducing the federal budget deficit primarily through changes to entitlement programs like Medicare and Medicaid.
 E985093 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: DRA 2005 | Statement: [Deficit Reduction Act of 2005, hasShortName, DRA 2005]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DRA 2005
Context triple: [Deficit Reduction Act of 2005, hasShortName, DRA 2005]
  • A. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • B. DRAC
    DRAC is the French acronym for the Regional Directorates of Cultural Affairs, which are state administrations responsible for implementing national cultural policy at the regional level in France.
  • C. Drafi
    Drafi is a settlement located on the slopes of Mount Pentelicus in the Attica region of Greece.
  • D. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • E. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • 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: DRA 2005
Triple: [Deficit Reduction Act of 2005, hasShortName, DRA 2005]
Generated description
DRA 2005 is a U.S. federal law aimed at reducing the federal budget deficit primarily through changes to entitlement programs like Medicare and Medicaid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DRA 2005
Target entity description: DRA 2005 is a U.S. federal law aimed at reducing the federal budget deficit primarily through changes to entitlement programs like Medicare and Medicaid.
  • A. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • B. DRAC
    DRAC is the French acronym for the Regional Directorates of Cultural Affairs, which are state administrations responsible for implementing national cultural policy at the regional level in France.
  • C. Drafi
    Drafi is a settlement located on the slopes of Mount Pentelicus in the Attica region of Greece.
  • D. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • E. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6415f11d88190a9f77eb1890f76ef completed May 2, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:55 p.m.