Triple

T15978623
Position Surface form Disambiguated ID Type / Status
Subject Sudan–South Sudan relations E387512 entity
Predicate securityMechanism P1687 FINISHED
Object Joint Border Verification and Monitoring Mechanism
The Joint Border Verification and Monitoring Mechanism is a bilateral security framework established by Sudan and South Sudan, with international support, to monitor and verify compliance along their shared border and help prevent armed conflict.
E1188733 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: Joint Border Verification and Monitoring Mechanism | Statement: [Sudan–South Sudan relations, securityMechanism, Joint Border Verification and Monitoring Mechanism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joint Border Verification and Monitoring Mechanism
Context triple: [Sudan–South Sudan relations, securityMechanism, Joint Border Verification and Monitoring Mechanism]
  • A. Border Management and Visa Instrument
    The Border Management and Visa Instrument is an EU funding tool that supports the management of the Schengen external borders and the implementation of common visa policy.
  • B. Secure Electronic Network for Travelers Rapid Inspection
    Secure Electronic Network for Travelers Rapid Inspection is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers at designated land border ports of entry.
  • C. Automated Passport Control kiosks
    Automated Passport Control kiosks are self-service machines at U.S. ports of entry that streamline and expedite the inspection process for eligible travelers by automating passport and customs data collection.
  • D. 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.
  • E. Machine Readable Travel Documents
    Machine Readable Travel Documents are standardized passports and similar identity documents that contain data in a format readable by machines, enabling automated identity verification and border control.
  • 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: Joint Border Verification and Monitoring Mechanism
Triple: [Sudan–South Sudan relations, securityMechanism, Joint Border Verification and Monitoring Mechanism]
Generated description
The Joint Border Verification and Monitoring Mechanism is a bilateral security framework established by Sudan and South Sudan, with international support, to monitor and verify compliance along their shared border and help prevent armed conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joint Border Verification and Monitoring Mechanism
Target entity description: The Joint Border Verification and Monitoring Mechanism is a bilateral security framework established by Sudan and South Sudan, with international support, to monitor and verify compliance along their shared border and help prevent armed conflict.
  • A. Border Management and Visa Instrument
    The Border Management and Visa Instrument is an EU funding tool that supports the management of the Schengen external borders and the implementation of common visa policy.
  • B. Secure Electronic Network for Travelers Rapid Inspection
    Secure Electronic Network for Travelers Rapid Inspection is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers at designated land border ports of entry.
  • C. Automated Passport Control kiosks
    Automated Passport Control kiosks are self-service machines at U.S. ports of entry that streamline and expedite the inspection process for eligible travelers by automating passport and customs data collection.
  • D. 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.
  • E. Machine Readable Travel Documents
    Machine Readable Travel Documents are standardized passports and similar identity documents that contain data in a format readable by machines, enabling automated identity verification and border control.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575362e081909ff36e4d3c15ff2f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc7fb8f308190b649a64c344884b0 completed May 9, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69ffc83b4c648190bce41afbd6547fc1 completed May 9, 2026, 11:50 p.m.
Created at: April 10, 2026, 4:54 a.m.