Triple
T35924587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bibliometrics |
E1038984
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of scientometrics |
C63814
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: subfield of scientometrics Context triple: [bibliometrics, instanceOf, subfield of scientometrics]
-
A.
citation metric
A citation metric is a quantitative measure used to assess the impact, influence, or visibility of scholarly works, authors, or journals based on how frequently they are cited in other publications.
-
B.
bibliometric analysis tool
A bibliometric analysis tool is a software application that systematically collects, processes, and visualizes publication and citation data to evaluate research performance, trends, and scholarly impact.
-
C.
subfield of computer science
A subfield of computer science is a specialized area of study and research within the broader discipline that focuses on a particular set of concepts, techniques, and applications, such as artificial intelligence, computer graphics, or cybersecurity.
-
D.
bibliometric database
A bibliometric database is a structured collection of publication and citation data used to analyze research output, impact, and scholarly networks.
-
E.
quantitative analysis of science
chosen
The quantitative analysis of science is the systematic study and measurement of scientific activity—such as publications, citations, collaborations, and funding—using statistical and computational methods to understand and evaluate the structure, dynamics, and impact of research.
- F. None of above.
Provenance (1 batch)
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.