Triple
T487985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM Transactions series |
E9921
|
entity |
| Predicate | hasMemberJournal |
P14047
|
FINISHED |
| Object |
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
|
E61020
|
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 Asian and Low-Resource Language Information Processing | Statement: [ACM Transactions series, hasMemberJournal, ACM Transactions on Asian and Low-Resource Language Information Processing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Asian and Low-Resource Language Information Processing Context triple: [ACM Transactions series, hasMemberJournal, ACM Transactions on Asian and Low-Resource Language Information Processing]
-
A.
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing is a leading peer-reviewed journal covering research and advances in audio, speech, and natural language signal processing.
-
B.
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.
-
C.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
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.
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.
- 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 Asian and Low-Resource Language Information Processing Triple: [ACM Transactions series, hasMemberJournal, ACM Transactions on Asian and Low-Resource Language Information Processing]
Generated description
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Asian and Low-Resource Language Information Processing Target entity description: ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
A.
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing is a leading peer-reviewed journal covering research and advances in audio, speech, and natural language signal processing.
-
B.
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.
-
C.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
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.
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.
- 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_69a47471e5ac8190acfed4803183f11a |
completed | March 1, 2026, 5:16 p.m. |
| NEDg | Description generation | batch_69a476527a6881909cc06330ae6bcbcb |
completed | March 1, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4769c31f081909bc74682ed6fd9d6 |
completed | March 1, 2026, 5:25 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.