Triple
T20615037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 10962 |
E506543
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Classification of derivatives |
—
|
NE NERFINISHED |
How this triple was built (3 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: Classification of derivatives | Statement: [ISO 10962, governs, Classification of derivatives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Classification of derivatives Context triple: [ISO 10962, governs, Classification of derivatives]
-
A.
Petrov classification
The Petrov classification is a scheme in general relativity that categorizes spacetime geometries based on the algebraic properties of the Weyl tensor.
-
B.
Eightfold Way classification
The Eightfold Way classification is a theoretical framework in particle physics that organizes hadrons into symmetry-based groups, laying groundwork for the quark model.
-
C.
Industry Classification Benchmark
The Industry Classification Benchmark is a globally used system that categorizes companies and securities into sectors and industries to facilitate investment analysis and benchmarking.
-
D.
Bliss Classification, 2nd edition
Bliss Classification, 2nd edition is a fully revised and expanded version of Henry E. Bliss’s bibliographic classification system, used in libraries to organize knowledge across all subject areas.
-
E.
Data Classification: Algorithms and Applications
"Data Classification: Algorithms and Applications" is a comprehensive reference book that surveys fundamental and advanced methods for classifying data, emphasizing both theoretical foundations and practical applications in data mining and machine learning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Classification of derivatives Target entity description: Classification of derivatives is a standardized financial instrument coding system used to categorize and identify derivative products across global markets.
-
A.
Petrov classification
The Petrov classification is a scheme in general relativity that categorizes spacetime geometries based on the algebraic properties of the Weyl tensor.
-
B.
Eightfold Way classification
The Eightfold Way classification is a theoretical framework in particle physics that organizes hadrons into symmetry-based groups, laying groundwork for the quark model.
-
C.
Industry Classification Benchmark
The Industry Classification Benchmark is a globally used system that categorizes companies and securities into sectors and industries to facilitate investment analysis and benchmarking.
-
D.
Bliss Classification, 2nd edition
Bliss Classification, 2nd edition is a fully revised and expanded version of Henry E. Bliss’s bibliographic classification system, used in libraries to organize knowledge across all subject areas.
-
E.
Data Classification: Algorithms and Applications
"Data Classification: Algorithms and Applications" is a comprehensive reference book that surveys fundamental and advanced methods for classifying data, emphasizing both theoretical foundations and practical applications in data mining and machine learning.
- F. None of above. chosen
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadaf47881909e93efb535c6c1e3 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.