Triple

T487991
Position Surface form Disambiguated ID Type / Status
Subject ACM Transactions series E9921 entity
Predicate hasMemberJournal P14047 FINISHED
Object ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
E61257 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 Transactions on Knowledge Discovery from Data | Statement: [ACM Transactions series, hasMemberJournal, ACM Transactions on Knowledge Discovery from Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Knowledge Discovery from Data
Context triple: [ACM Transactions series, hasMemberJournal, ACM Transactions on Knowledge Discovery from Data]
  • A. 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.
  • B. 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.
  • C. ACM Guide to Computing Literature
    The ACM Guide to Computing Literature is a comprehensive bibliographic database that indexes and abstracts worldwide research publications in computer science and related fields.
  • D. 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.
  • E. SIGMOD
    SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
  • 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 Transactions on Knowledge Discovery from Data
Triple: [ACM Transactions series, hasMemberJournal, ACM Transactions on Knowledge Discovery from Data]
Generated description
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Knowledge Discovery from Data
Target entity description: ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
  • A. 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.
  • B. 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.
  • C. ACM Guide to Computing Literature
    The ACM Guide to Computing Literature is a comprehensive bibliographic database that indexes and abstracts worldwide research publications in computer science and related fields.
  • D. 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.
  • E. SIGMOD
    SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0de66308190a18503a482881cfc completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4777eab9c8190894b34e011190a54 completed March 1, 2026, 5:29 p.m.
NEDg Description generation batch_69a477d94d3c819096d8bad88a5c8cb9 completed March 1, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69a478abe5c08190b7fff1ddd8d89449 completed March 1, 2026, 5:34 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.