Triple

T18519986
Position Surface form Disambiguated ID Type / Status
Subject Government Paperwork Elimination Act E452558 entity
Predicate shortName P43 FINISHED
Object GPEA
GPEA is a U.S. federal law that promotes the use of electronic documents and signatures to reduce reliance on paper-based government processes.
 E1329168 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: GPEA | Statement: [Government Paperwork Elimination Act, shortName, GPEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GPEA
Context triple: [Government Paperwork Elimination Act, shortName, GPEA]
  • A. EGPE
    EGPE is the ICAO airport code for Inverness Airport, a regional airport serving the city of Inverness and the Scottish Highlands.
  • B. EGAE
    EGAE is the ICAO airport code for City of Derry Airport, a regional airport serving the Derry/Londonderry area in Northern Ireland.
  • C. EGA
    EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
  • D. EGA
    EGA is the primary brand name under which Emirates Global Aluminium, one of the world’s largest aluminium producers, operates and markets its products.
  • E. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • 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: GPEA
Triple: [Government Paperwork Elimination Act, shortName, GPEA]
Generated description
GPEA is a U.S. federal law that promotes the use of electronic documents and signatures to reduce reliance on paper-based government processes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GPEA
Target entity description: GPEA is a U.S. federal law that promotes the use of electronic documents and signatures to reduce reliance on paper-based government processes.
  • A. EGPE
    EGPE is the ICAO airport code for Inverness Airport, a regional airport serving the city of Inverness and the Scottish Highlands.
  • B. EGAE
    EGAE is the ICAO airport code for City of Derry Airport, a regional airport serving the Derry/Londonderry area in Northern Ireland.
  • C. EGA
    EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
  • D. EGA
    EGA is the primary brand name under which Emirates Global Aluminium, one of the world’s largest aluminium producers, operates and markets its products.
  • E. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338ce7e481908ee69ffe4f30d5a4 completed April 19, 2026, 7:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916eeed88190bf8df75fc83ba145 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04924c2fd08190a824c470b732626f completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492e3a6dc8190902bb46bec64c07e completed May 13, 2026, 3:04 p.m.
Created at: April 10, 2026, 11:37 a.m.