Triple

T4560730
Position Surface form Disambiguated ID Type / Status
Subject Science Resources Statistics, National Science Foundation E121783 entity
Predicate subjectOf P38 FINISHED
Object U.S. science and engineering indicators data collection E33076 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: U.S. science and engineering indicators data collection | Statement: [Science Resources Statistics, National Science Foundation, subjectOf, U.S. science and engineering indicators data collection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U.S. science and engineering indicators data collection
Context triple: [Science Resources Statistics, National Science Foundation, subjectOf, U.S. science and engineering indicators data collection]
  • A. Science and Engineering Indicators report chosen
    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.
  • B. National Center for Science and Engineering Statistics
    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.
  • C. 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.
  • D. Scientific Data Systems
    Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
  • E. The Science Survey
    The Science Survey is the student-run newspaper of The Bronx High School of Science, featuring news, opinion pieces, and creative work by its students.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd582d98fc8190a760dbb5f20c775d completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc59b2514819091f3845307cb1c8b completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.