Triple
T3665880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AsiaCCS |
E77757
|
entity |
| Predicate | acronymOf |
P8733
|
FINISHED |
| Object |
ACM Asia Conference on Computer and Communications Security
The ACM Asia Conference on Computer and Communications Security is a leading annual research conference focusing on advances in information security and privacy, particularly within the Asia-Pacific region.
|
E379775
|
NE FINISHED |
How this triple was built (4 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: ACM Asia Conference on Computer and Communications Security | Statement: [AsiaCCS, acronymOf, ACM Asia Conference on Computer and Communications Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Asia Conference on Computer and Communications Security Context triple: [AsiaCCS, acronymOf, ACM Asia Conference on Computer and Communications Security]
-
A.
Proceedings of the ACM Conference on Computer and Communications Security
Proceedings of the ACM Conference on Computer and Communications Security is a leading peer-reviewed academic venue publishing cutting-edge research on computer and communications security and privacy.
-
B.
ACM Conference on Data and Application Security and Privacy
The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
-
C.
USENIX Security
USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
-
D.
ACM/IEEE International Conference on Cyber-Physical Systems
The ACM/IEEE International Conference on Cyber-Physical Systems is a leading annual research conference focused on the theory, design, analysis, and application of integrated computational and physical systems across domains such as transportation, energy, healthcare, and industrial automation.
-
E.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ACM Asia Conference on Computer and Communications Security Triple: [AsiaCCS, acronymOf, ACM Asia Conference on Computer and Communications Security]
Generated description
The ACM Asia Conference on Computer and Communications Security is a leading annual research conference focusing on advances in information security and privacy, particularly within the Asia-Pacific region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM Asia Conference on Computer and Communications Security Target entity description: The ACM Asia Conference on Computer and Communications Security is a leading annual research conference focusing on advances in information security and privacy, particularly within the Asia-Pacific region.
-
A.
Proceedings of the ACM Conference on Computer and Communications Security
Proceedings of the ACM Conference on Computer and Communications Security is a leading peer-reviewed academic venue publishing cutting-edge research on computer and communications security and privacy.
-
B.
ACM Conference on Data and Application Security and Privacy
The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
-
C.
USENIX Security
USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
-
D.
ACM/IEEE International Conference on Cyber-Physical Systems
The ACM/IEEE International Conference on Cyber-Physical Systems is a leading annual research conference focused on the theory, design, analysis, and application of integrated computational and physical systems across domains such as transportation, energy, healthcare, and industrial automation.
-
E.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
- F. None of above. chosen
Provenance (5 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc40188988190b1b7ac9c8240a5ff |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39bb9b48190ba34226ccfccd59e |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c4dc3e2c819086e26220928ef778 |
completed | March 14, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c539288c8190abbbef5e3378d8af |
completed | March 14, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:25 p.m.