Triple
T15139363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM-SIAM Symposium on Discrete Algorithms |
E361643
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | algorithms conference |
C15761
|
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: algorithms conference Context triple: [ACM-SIAM Symposium on Discrete Algorithms, instanceOf, algorithms conference]
-
A.
theoretical computer science conference
chosen
A theoretical computer science conference is a formal academic gathering where researchers present, discuss, and critique new results and ideas in areas such as algorithms, complexity theory, cryptography, and formal methods.
-
B.
academic conference
An academic conference is a formal gathering of scholars, researchers, and professionals who present, discuss, and critique original research and developments within a specific field or interdisciplinary area.
-
C.
neural networks conference
A neural networks conference is a professional gathering where researchers, practitioners, and industry experts present, discuss, and collaborate on the latest advances, applications, and theories in neural network and deep learning technologies.
-
D.
ACM SIGPLAN event
An ACM SIGPLAN event is a professional gathering—such as a conference, workshop, or symposium—organized under ACM’s Special Interest Group on Programming Languages to present, discuss, and advance research and practice in programming languages and related areas.
-
E.
algorithm
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:07 a.m.