Triple

T9075420
Position Surface form Disambiguated ID Type / Status
Subject Controlled Substances Import and Export Act E217471 entity
Predicate shortName P43 FINISHED
Object CSIEA
CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
 E776675 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: CSIEA | Statement: [Controlled Substances Import and Export Act, shortName, CSIEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CSIEA
Context triple: [Controlled Substances Import and Export Act, shortName, CSIEA]
  • A. CEI
    CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • B. ISCAS
    ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
  • C. SCIAC
    SCIAC is an NCAA Division III athletic conference composed of small private colleges and universities in Southern California.
  • D. ACSIS
    ACSIS is a digital autocorrelation spectrometer system used on the James Clerk Maxwell Telescope to analyze submillimetre astronomical signals with high spectral resolution.
  • E. SEI
    SEI is a renowned research and development center at Carnegie Mellon University that advances software engineering practices, cybersecurity, and process improvement for government and industry.
  • 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: CSIEA
Triple: [Controlled Substances Import and Export Act, shortName, CSIEA]
Generated description
CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CSIEA
Target entity description: CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • A. CEI
    CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • B. ISCAS
    ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
  • C. SCIAC
    SCIAC is an NCAA Division III athletic conference composed of small private colleges and universities in Southern California.
  • D. ACSIS
    ACSIS is a digital autocorrelation spectrometer system used on the James Clerk Maxwell Telescope to analyze submillimetre astronomical signals with high spectral resolution.
  • E. SEI
    SEI is a renowned research and development center at Carnegie Mellon University that advances software engineering practices, cybersecurity, and process improvement for government and industry.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c53274819099b3b3047bfe8cc8 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdfe16c4819092c884bc3fe5daeb completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:12 p.m.