Triple
T8717680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Statistics Division |
E206935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
International Recommendations for Industrial Statistics
International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
|
E753999
|
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: International Recommendations for Industrial Statistics | Statement: [United Nations Statistics Division, notableWork, International Recommendations for Industrial Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: International Recommendations for Industrial Statistics Context triple: [United Nations Statistics Division, notableWork, International Recommendations for Industrial Statistics]
-
A.
Conference on Statistical Practice
The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
-
B.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
-
C.
Code of Practice for Statistics
The Code of Practice for Statistics is the UK’s official framework of principles and standards designed to ensure that statistics produced by public bodies are trustworthy, high quality, and valuable to users.
-
D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
E.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
- 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: International Recommendations for Industrial Statistics Triple: [United Nations Statistics Division, notableWork, International Recommendations for Industrial Statistics]
Generated description
International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: International Recommendations for Industrial Statistics Target entity description: International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
-
A.
Conference on Statistical Practice
The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
-
B.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
-
C.
Code of Practice for Statistics
The Code of Practice for Statistics is the UK’s official framework of principles and standards designed to ensure that statistics produced by public bodies are trustworthy, high quality, and valuable to users.
-
D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
E.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cdac6988190b9f9cc1f350aae53 |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28df657881908c1fc67c2c777cea |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd222b08190907ba7e98991996e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2fcb5e7c819086b441d1ef4fc368 |
completed | April 3, 2026, 3:11 a.m. |
Created at: March 30, 2026, 6:36 p.m.