Triple
T4802666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R1: Doctoral Universities – Very high research activity |
E106871
|
entity |
| Predicate | dataSource |
P409
|
FINISHED |
| Object | National Science Foundation research expenditure surveys |
E121783
|
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: National Science Foundation research expenditure surveys | Statement: [R1: Doctoral Universities – Very high research activity, dataSource, National Science Foundation research expenditure surveys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Science Foundation research expenditure surveys Context triple: [R1: Doctoral Universities – Very high research activity, dataSource, National Science Foundation research expenditure surveys]
-
A.
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.
-
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.
Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
-
D.
Associated Countries to the European Research Area
Associated Countries to the European Research Area are non-EU states that participate in the EU’s research and innovation framework programs under similar conditions to member countries, fostering integrated scientific collaboration across Europe.
-
E.
Science Resources Statistics, National Science Foundation
chosen
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.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c42113081908824f3608e65cbff |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4400103c8190a5417fe75fb50f81 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:23 p.m.