Triple
T122394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Interest Groups |
E2476
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object |
SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
|
E13737
|
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: SIGKDD | Statement: [Special Interest Groups, hasExample, SIGKDD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIGKDD Context triple: [Special Interest Groups, hasExample, SIGKDD]
-
A.
Communications of the ACM
Communications of the ACM is a leading peer-reviewed magazine that publishes articles and research on computer science and information technology for the global computing community.
-
B.
ACM Computing Surveys
ACM Computing Surveys is a leading peer-reviewed journal that publishes comprehensive, in-depth survey articles covering major areas of computer science and computing research.
-
C.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
-
D.
ACM Transactions series
The ACM Transactions series is a collection of peer-reviewed scholarly journals published by the Association for Computing Machinery, each focusing on a specific area of computer science and information technology research.
-
E.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
- 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: SIGKDD Triple: [Special Interest Groups, hasExample, SIGKDD]
Generated description
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIGKDD Target entity description: SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
-
A.
Communications of the ACM
Communications of the ACM is a leading peer-reviewed magazine that publishes articles and research on computer science and information technology for the global computing community.
-
B.
ACM Computing Surveys
ACM Computing Surveys is a leading peer-reviewed journal that publishes comprehensive, in-depth survey articles covering major areas of computer science and computing research.
-
C.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
-
D.
ACM Transactions series
The ACM Transactions series is a collection of peer-reviewed scholarly journals published by the Association for Computing Machinery, each focusing on a specific area of computer science and information technology research.
-
E.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2982485348190b2b361aef7b42fc9 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a299032e748190b8f91ff2109c40fe |
completed | Feb. 28, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a29af5cf3c8190a88b5cbabea72cc5 |
completed | Feb. 28, 2026, 7:36 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.