Triple

T10341897
Position Surface form Disambiguated ID Type / Status
Subject Visa Information System E243144 entity
Predicate interoperableWith P14647 FINISHED
Object EES-VIS shared biometric matching service
The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
E858305 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: EES-VIS shared biometric matching service | Statement: [Visa Information System, interoperableWith, EES-VIS shared biometric matching service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EES-VIS shared biometric matching service
Context triple: [Visa Information System, interoperableWith, EES-VIS shared biometric matching service]
  • A. Automated Biometric Identification System
    The Automated Biometric Identification System is a large-scale U.S. government database and matching system that stores and analyzes biometric data, such as fingerprints and facial images, to verify and identify individuals for security and immigration purposes.
  • B. Integrated Automated Fingerprint Identification System
    The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
  • C. Latent and Palm Print Services
    Latent and Palm Print Services is a component of the FBI’s Next Generation Identification system that manages, stores, and analyzes latent and palm print data to support biometric identification and criminal investigations.
  • D. Real-Time Automated Personnel Identification System
    The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
  • E. Modified National Institute of Standards and Technology database
    The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
  • 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: EES-VIS shared biometric matching service
Triple: [Visa Information System, interoperableWith, EES-VIS shared biometric matching service]
Generated description
The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EES-VIS shared biometric matching service
Target entity description: The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
  • A. Automated Biometric Identification System
    The Automated Biometric Identification System is a large-scale U.S. government database and matching system that stores and analyzes biometric data, such as fingerprints and facial images, to verify and identify individuals for security and immigration purposes.
  • B. Integrated Automated Fingerprint Identification System
    The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
  • C. Latent and Palm Print Services
    Latent and Palm Print Services is a component of the FBI’s Next Generation Identification system that manages, stores, and analyzes latent and palm print data to support biometric identification and criminal investigations.
  • D. Real-Time Automated Personnel Identification System
    The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
  • E. Modified National Institute of Standards and Technology database
    The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a645348190af91450360a9abed completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75070c3ac8190b0d50a93d48c9bd9 completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d7618c9abc819080c4d6669dfb8320 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d7702ae24481908b0f5319413e81d4 completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:55 a.m.