Triple
T4018990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OECD Directorate for Financial and Enterprise Affairs |
E91232
|
entity |
| Predicate | produces |
P490
|
FINISHED |
| Object |
OECD Anti-Bribery Convention monitoring reports
The OECD Anti-Bribery Convention monitoring reports are periodic evaluations that assess how effectively member countries are implementing and enforcing international standards against the bribery of foreign public officials in business transactions.
|
E405904
|
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: OECD Anti-Bribery Convention monitoring reports | Statement: [OECD Directorate for Financial and Enterprise Affairs, produces, OECD Anti-Bribery Convention monitoring reports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OECD Anti-Bribery Convention monitoring reports Context triple: [OECD Directorate for Financial and Enterprise Affairs, produces, OECD Anti-Bribery Convention monitoring reports]
-
A.
United Nations Convention against Corruption
The United Nations Convention against Corruption is a global, legally binding treaty that sets comprehensive standards and measures for preventing, criminalizing, and combating corruption in both public and private sectors.
-
B.
Council of Europe anti-corruption conventions
The Council of Europe anti-corruption conventions are a set of international legal instruments aimed at preventing, criminalizing, and combating corruption among public officials and within member states, supported by monitoring and compliance mechanisms.
-
C.
Council of Europe conventions on money laundering and terrorist financing
The Council of Europe conventions on money laundering and terrorist financing are international legal instruments that set common standards for preventing, criminalizing, and cooperating against money laundering and the financing of terrorism among member states.
-
D.
Group of States against Corruption
The Group of States against Corruption (GRECO) is a Council of Europe body that monitors member states’ compliance with anti-corruption standards and promotes effective policies to prevent and combat corruption.
-
E.
Foreign Corrupt Practices Act
The Foreign Corrupt Practices Act is a U.S. federal law that prohibits bribery of foreign officials and mandates accurate corporate accounting to combat international corruption.
- 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: OECD Anti-Bribery Convention monitoring reports Triple: [OECD Directorate for Financial and Enterprise Affairs, produces, OECD Anti-Bribery Convention monitoring reports]
Generated description
The OECD Anti-Bribery Convention monitoring reports are periodic evaluations that assess how effectively member countries are implementing and enforcing international standards against the bribery of foreign public officials in business transactions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OECD Anti-Bribery Convention monitoring reports Target entity description: The OECD Anti-Bribery Convention monitoring reports are periodic evaluations that assess how effectively member countries are implementing and enforcing international standards against the bribery of foreign public officials in business transactions.
-
A.
United Nations Convention against Corruption
The United Nations Convention against Corruption is a global, legally binding treaty that sets comprehensive standards and measures for preventing, criminalizing, and combating corruption in both public and private sectors.
-
B.
Council of Europe anti-corruption conventions
The Council of Europe anti-corruption conventions are a set of international legal instruments aimed at preventing, criminalizing, and combating corruption among public officials and within member states, supported by monitoring and compliance mechanisms.
-
C.
Council of Europe conventions on money laundering and terrorist financing
The Council of Europe conventions on money laundering and terrorist financing are international legal instruments that set common standards for preventing, criminalizing, and cooperating against money laundering and the financing of terrorism among member states.
-
D.
Group of States against Corruption
The Group of States against Corruption (GRECO) is a Council of Europe body that monitors member states’ compliance with anti-corruption standards and promotes effective policies to prevent and combat corruption.
-
E.
Foreign Corrupt Practices Act
The Foreign Corrupt Practices Act is a U.S. federal law that prohibits bribery of foreign officials and mandates accurate corporate accounting to combat international corruption.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaab39d4819080e37cd175c89542 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7cb0ec8190b7e4646a934ddb07 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d06c7c881908b30ba813c009d25 |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d739e588190b23c06b10b4f540e |
completed | March 14, 2026, 11:58 a.m. |
Created at: March 9, 2026, 3:35 p.m.