Triple

T20064106
Position Surface form Disambiguated ID Type / Status
Subject CIPM Mutual Recognition Arrangement E499560 entity
Predicate documentedIn P309 FINISHED
Object Key Comparison Database — 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: Key Comparison Database | Statement: [CIPM Mutual Recognition Arrangement, documentedIn, Key Comparison Database]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Key Comparison Database
Context triple: [CIPM Mutual Recognition Arrangement, documentedIn, Key Comparison Database]
  • A. Modified National Institute of Standards and Technology database
    The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
  • B. ISO 10383 MIC database
    The ISO 10383 MIC database is an international registry that assigns and maintains standardized Market Identifier Codes (MICs) for securities and derivatives trading venues and related entities worldwide.
  • C. NIST Special Database program
    The NIST Special Database program is a U.S. National Institute of Standards and Technology initiative that curates and distributes standardized scientific and technical datasets for research, testing, and benchmarking.
  • D. NIST Special Database 1
    NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
  • E. NIST Special Database 3
    NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition 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: Key Comparison Database
Target entity description: The Key Comparison Database is an international online repository maintained by the BIPM that publishes results of key and supplementary metrology comparisons and calibration capabilities to support global recognition of national measurement standards.
  • A. Modified National Institute of Standards and Technology database
    The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
  • B. ISO 10383 MIC database
    The ISO 10383 MIC database is an international registry that assigns and maintains standardized Market Identifier Codes (MICs) for securities and derivatives trading venues and related entities worldwide.
  • C. NIST Special Database program
    The NIST Special Database program is a U.S. National Institute of Standards and Technology initiative that curates and distributes standardized scientific and technical datasets for research, testing, and benchmarking.
  • D. NIST Special Database 1
    NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
  • E. NIST Special Database 3
    NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66377b6b48190a0a37279f285123e completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.