Triple
T18798553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EnCompassPAT |
E459701
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intellectual property analysis software |
C32817
|
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: intellectual property analysis software Context triple: [EnCompassPAT, instanceOf, intellectual property analysis software]
-
A.
intellectual property legislation
Intellectual property legislation is the body of laws and regulations that grants creators exclusive rights to their inventions, works, and brands, while balancing those rights against public access and fair use.
-
B.
intellectual property law clinic
An intellectual property law clinic is a practical legal education program where law students, under faculty supervision, provide clients with advice and services on patents, trademarks, copyrights, and related IP matters.
-
C.
bibliometric analysis tool
chosen
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.
-
D.
intellectual property right
An intellectual property right is a legal entitlement that grants creators or owners exclusive control over the use and exploitation of their intangible creations, such as inventions, works of authorship, designs, and trademarks, for a specified period.
-
E.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.