Triple

T16618777
Position Surface form Disambiguated ID Type / Status
Subject National Institute of Statistics of Tunisia E403763 entity
Predicate followsStandard P1587 FINISHED
Object United Nations Fundamental Principles of Official Statistics E465448 NE FINISHED

How this triple was built (2 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: United Nations Fundamental Principles of Official Statistics | Statement: [National Institute of Statistics of Tunisia, followsStandard, United Nations Fundamental Principles of Official Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Nations Fundamental Principles of Official Statistics
Context triple: [National Institute of Statistics of Tunisia, followsStandard, United Nations Fundamental Principles of Official Statistics]
  • A. Fundamental Principles of Official Statistics chosen
    The Fundamental Principles of Official Statistics are a set of internationally agreed guidelines that define the professional and ethical standards for producing reliable, impartial, and high-quality official statistics.
  • B. 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.
  • C. United Nations statistics systems
    United Nations statistics systems are the coordinated global frameworks and tools the UN uses to collect, harmonize, and disseminate official international statistical data for monitoring development, economic, social, and environmental indicators.
  • D. Office for Statistics Regulation
    The Office for Statistics Regulation is the UK’s independent regulatory body that oversees the production and use of official statistics to ensure they are trustworthy, high quality, and serve the public good.
  • E. Committee on Statistics and Statistical Policy
    The Committee on Statistics and Statistical Policy is an OECD body that guides and coordinates international statistical standards, data quality, and evidence-based policymaking across member countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db0b4348190beb573bc3df98125 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.