Triple
T7452447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union Justice and Home Affairs agencies network |
E172038
|
entity |
| Predicate | includesAgency |
P12024
|
FINISHED |
| Object |
European Union Agency for Law Enforcement Cooperation
The European Union Agency for Law Enforcement Cooperation, commonly known as Europol, is the EU’s law enforcement agency that supports member states in preventing and combating serious international crime and terrorism.
|
E192015
|
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: European Union Agency for Law Enforcement Cooperation | Statement: [European Union Justice and Home Affairs agencies network, includesAgency, European Union Agency for Law Enforcement Cooperation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: European Union Agency for Law Enforcement Cooperation Context triple: [European Union Justice and Home Affairs agencies network, includesAgency, European Union Agency for Law Enforcement Cooperation]
-
A.
European Union Agency for Law Enforcement Training
The European Union Agency for Law Enforcement Training (CEPOL) is an EU agency that develops, coordinates, and delivers training for law enforcement officials across member states to enhance cross-border cooperation and security.
-
B.
European Police Office
The European Police Office, commonly known as Europol, is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
-
C.
European Union Justice and Home Affairs agencies network
The European Union Justice and Home Affairs agencies network is a collaborative framework that brings together EU agencies working on justice, security, migration, and fundamental rights to coordinate policies and operational cooperation across member states.
-
D.
Eurojust
Eurojust is the European Union agency that coordinates judicial cooperation among member states to combat serious cross-border crime.
-
E.
European law enforcement agencies
European law enforcement agencies are national and regional police and security bodies across Europe responsible for maintaining public order, preventing and investigating crime, and cooperating across borders on security and justice matters.
- 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: European Union Agency for Law Enforcement Cooperation Triple: [European Union Justice and Home Affairs agencies network, includesAgency, European Union Agency for Law Enforcement Cooperation]
Generated description
The European Union Agency for Law Enforcement Cooperation, commonly known as Europol, is the EU’s law enforcement agency that supports member states in preventing and combating serious international crime and terrorism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: European Union Agency for Law Enforcement Cooperation Target entity description: The European Union Agency for Law Enforcement Cooperation, commonly known as Europol, is the EU’s law enforcement agency that supports member states in preventing and combating serious international crime and terrorism.
-
A.
European Union Agency for Law Enforcement Training
The European Union Agency for Law Enforcement Training (CEPOL) is an EU agency that develops, coordinates, and delivers training for law enforcement officials across member states to enhance cross-border cooperation and security.
-
B.
European Police Office
chosen
The European Police Office, commonly known as Europol, is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
-
C.
European Union Justice and Home Affairs agencies network
The European Union Justice and Home Affairs agencies network is a collaborative framework that brings together EU agencies working on justice, security, migration, and fundamental rights to coordinate policies and operational cooperation across member states.
-
D.
Eurojust
Eurojust is the European Union agency that coordinates judicial cooperation among member states to combat serious cross-border crime.
-
E.
European law enforcement agencies
European law enforcement agencies are national and regional police and security bodies across Europe responsible for maintaining public order, preventing and investigating crime, and cooperating across borders on security and justice matters.
- F. None of above.
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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c57e1d0819081562638236debce |
completed | March 28, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69c83e244d408190b96b1db58e754a88 |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e9189e4819093a8fe97895e2f9f |
completed | March 28, 2026, 8:48 p.m. |
Created at: March 27, 2026, 3:14 p.m.