Triple
T9692308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Supervisory Commission |
E234564
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
National Bureau of Corruption Prevention
The National Bureau of Corruption Prevention was a Chinese government agency responsible for coordinating anti-corruption efforts and promoting integrity in public administration before being replaced by the National Supervisory Commission.
|
E815740
|
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: National Bureau of Corruption Prevention | Statement: [National Supervisory Commission, precededBy, National Bureau of Corruption Prevention]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Bureau of Corruption Prevention Context triple: [National Supervisory Commission, precededBy, National Bureau of Corruption Prevention]
-
A.
Anti-Corruption Foundation
The Anti-Corruption Foundation is a Russian non-profit organization known for investigating and exposing high-level government corruption and promoting political transparency.
-
B.
Office of Anticorruption and Integrity
The Office of Anticorruption and Integrity is the Asian Development Bank’s specialized unit responsible for preventing, investigating, and addressing fraud and corruption in its operations and projects.
-
C.
Anti-Corruption Branch
The Anti-Corruption Branch is a specialized law enforcement unit focused on investigating and combating corruption-related offenses within its jurisdiction.
-
D.
Prevention Bureau
The Prevention Bureau is the division of the Los Angeles County Fire Department responsible for fire prevention, code enforcement, and public safety education.
-
E.
Prevention Bureau
The Prevention Bureau is a specialized unit within the Polish police responsible for coordinating and implementing crime prevention and public safety initiatives.
- 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: National Bureau of Corruption Prevention Triple: [National Supervisory Commission, precededBy, National Bureau of Corruption Prevention]
Generated description
The National Bureau of Corruption Prevention was a Chinese government agency responsible for coordinating anti-corruption efforts and promoting integrity in public administration before being replaced by the National Supervisory Commission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Bureau of Corruption Prevention Target entity description: The National Bureau of Corruption Prevention was a Chinese government agency responsible for coordinating anti-corruption efforts and promoting integrity in public administration before being replaced by the National Supervisory Commission.
-
A.
Anti-Corruption Foundation
The Anti-Corruption Foundation is a Russian non-profit organization known for investigating and exposing high-level government corruption and promoting political transparency.
-
B.
Office of Anticorruption and Integrity
The Office of Anticorruption and Integrity is the Asian Development Bank’s specialized unit responsible for preventing, investigating, and addressing fraud and corruption in its operations and projects.
-
C.
Anti-Corruption Branch
The Anti-Corruption Branch is a specialized law enforcement unit focused on investigating and combating corruption-related offenses within its jurisdiction.
-
D.
Prevention Bureau
The Prevention Bureau is the division of the Los Angeles County Fire Department responsible for fire prevention, code enforcement, and public safety education.
-
E.
Prevention Bureau
The Prevention Bureau is a specialized unit within the Polish police responsible for coordinating and implementing crime prevention and public safety initiatives.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911d33f081908637cbf4c1949bcd |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d19533ef1c8190926ffb4eb92b8ef4 |
completed | April 4, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d195b69a4c8190941b92cc36bdc416 |
completed | April 4, 2026, 10:50 p.m. |
Created at: March 30, 2026, 8:17 p.m.