Triple

T11096601
Position Surface form Disambiguated ID Type / Status
Subject eu-LISA E262393 entity
Predicate managesSystem P76502 FINISHED
Object European Criminal Records Information System for Third-Country Nationals
The European Criminal Records Information System for Third-Country Nationals (ECRIS-TCN) is an EU-wide IT system that enables member states to identify and exchange criminal records information on non-EU citizens and stateless persons efficiently and securely.
E904511 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 Criminal Records Information System for Third-Country Nationals | Statement: [eu-LISA, managesSystem, European Criminal Records Information System for Third-Country Nationals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Criminal Records Information System for Third-Country Nationals
Context triple: [eu-LISA, managesSystem, European Criminal Records Information System for Third-Country Nationals]
  • A. Schengen Information System
    The Schengen Information System is a large-scale European security and border management database that enables Schengen states to share alerts on persons and objects for purposes such as border control and law enforcement.
  • B. Europol Information System
    The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
  • C. Eurodac system
    The Eurodac system is an EU-wide biometric database that stores and compares fingerprints of asylum seekers and certain irregular migrants to help determine which member state is responsible for examining an asylum application.
  • D. Europol Convention
    The Europol Convention was the international agreement that originally established and governed the operations of the European Police Office before it was replaced by the current Europol framework under EU law.
  • E. Council Framework Decisions on mutual recognition in criminal matters
    The Council Framework Decisions on mutual recognition in criminal matters are EU legislative instruments that establish common rules for recognizing and enforcing judicial decisions across member states in areas such as extradition, evidence gathering, and criminal judgments.
  • 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 Criminal Records Information System for Third-Country Nationals
Triple: [eu-LISA, managesSystem, European Criminal Records Information System for Third-Country Nationals]
Generated description
The European Criminal Records Information System for Third-Country Nationals (ECRIS-TCN) is an EU-wide IT system that enables member states to identify and exchange criminal records information on non-EU citizens and stateless persons efficiently and securely.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: European Criminal Records Information System for Third-Country Nationals
Target entity description: The European Criminal Records Information System for Third-Country Nationals (ECRIS-TCN) is an EU-wide IT system that enables member states to identify and exchange criminal records information on non-EU citizens and stateless persons efficiently and securely.
  • A. Schengen Information System
    The Schengen Information System is a large-scale European security and border management database that enables Schengen states to share alerts on persons and objects for purposes such as border control and law enforcement.
  • B. Europol Information System
    The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
  • C. Eurodac system
    The Eurodac system is an EU-wide biometric database that stores and compares fingerprints of asylum seekers and certain irregular migrants to help determine which member state is responsible for examining an asylum application.
  • D. Europol Convention
    The Europol Convention was the international agreement that originally established and governed the operations of the European Police Office before it was replaced by the current Europol framework under EU law.
  • E. Council Framework Decisions on mutual recognition in criminal matters
    The Council Framework Decisions on mutual recognition in criminal matters are EU legislative instruments that establish common rules for recognizing and enforcing judicial decisions across member states in areas such as extradition, evidence gathering, and criminal judgments.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.