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.