Triple

T8219511
Position Surface form Disambiguated ID Type / Status
Subject Europol Information System E192020 entity
Predicate abbreviation P43 FINISHED
Object EIS
EIS is the central criminal information database operated by Europol to support law enforcement cooperation and intelligence sharing among EU member states.
 E719085 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: EIS | Statement: [Europol Information System, abbreviation, EIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EIS
Context triple: [Europol Information System, abbreviation, EIS]
  • A. EIS
    EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
  • B. EIS
    EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
  • C. EIS
    EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
  • D. EEIS
    EEIS is an academic department focused on education and research in electrical engineering and information systems.
  • E. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • 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: EIS
Triple: [Europol Information System, abbreviation, EIS]
Generated description
EIS is the central criminal information database operated by Europol to support law enforcement cooperation and intelligence sharing among EU member states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EIS
Target entity description: EIS is the central criminal information database operated by Europol to support law enforcement cooperation and intelligence sharing among EU member states.
  • A. EIS
    EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
  • B. EIS
    EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
  • C. EIS
    EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
  • D. EEIS
    EEIS is an academic department focused on education and research in electrical engineering and information systems.
  • E. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee01ed9c819086bfc35e89f7bad8 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.