Triple

T7752976
Position Surface form Disambiguated ID Type / Status
Subject National Center for Science and Engineering Statistics E175813 entity
Predicate abbreviation P43 FINISHED
Object NCSES E175813 NE FINISHED

How this triple was built (2 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: NCSES | Statement: [National Center for Science and Engineering Statistics, abbreviation, NCSES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NCSES
Context triple: [National Center for Science and Engineering Statistics, abbreviation, NCSES]
  • A. National Center for Science and Engineering Statistics chosen
    The National Center for Science and Engineering Statistics is a U.S. federal statistical agency within the National Science Foundation that serves as a primary source of data and analysis on the nation’s science, technology, engineering, and mathematics enterprise.
  • B. Science Resources Statistics, National Science Foundation
    Science Resources Statistics at the National Science Foundation is a federal statistical agency responsible for collecting, analyzing, and disseminating data on the U.S. science and engineering enterprise.
  • C. Corporation for National Research Initiatives
    The Corporation for National Research Initiatives is a U.S.-based nonprofit organization that conducts and supports advanced research and development in networking, information infrastructure, and related technologies.
  • D. NARIC Network
    The NARIC Network is a European network of national centers that provide information and guidance on the recognition of foreign diplomas, degrees, and other academic qualifications.
  • E. Science and Engineering Indicators report
    The Science and Engineering Indicators report is a comprehensive, data-driven assessment of the state of U.S. and global science, technology, engineering, and mathematics (STEM) research, education, and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b4b54c819088ffe918ce5c7de4 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5a649c81909c94d629348b34fc completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.