Triple
T30338255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAACL 2018 |
E771679
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computational linguistics conference |
C29000
|
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: computational linguistics conference Context triple: [NAACL 2018, instanceOf, computational linguistics conference]
-
A.
natural language processing conference
chosen
A natural language processing conference is a formal gathering where researchers, practitioners, and industry professionals present, discuss, and advance methods and applications for computational understanding and generation of human language.
-
B.
linguistics conference
A linguistics conference is a formal gathering where researchers, educators, and practitioners present, discuss, and critique work on language and its structure, use, and acquisition.
-
C.
linguistics research center
A linguistics research center is an institution dedicated to the systematic study, analysis, and advancement of knowledge about language structure, use, acquisition, and change.
-
D.
natural language processing paper
A natural language processing paper is a scholarly work that presents methods, experiments, and findings on computational techniques for analyzing, understanding, or generating human language.
-
E.
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.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:54 p.m.