Triple

T847198
Position Surface form Disambiguated ID Type / Status
Subject Allied Command Transformation E18301 entity
Predicate hasSubordinate P747 FINISHED
Object Joint Analysis and Lessons Learned Centre
The Joint Analysis and Lessons Learned Centre is a NATO organization dedicated to analyzing operations and exercises to capture, develop, and disseminate lessons that improve the Alliance’s military effectiveness and transformation.
E100256 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 Analysis and Lessons Learned Centre | Statement: [Allied Command Transformation, hasSubordinate, Joint Analysis and Lessons Learned Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joint Analysis and Lessons Learned Centre
Context triple: [Allied Command Transformation, hasSubordinate, Joint Analysis and Lessons Learned Centre]
  • A. Joint Operations Command Center
    The Joint Operations Command Center is a specialized coordination hub within the Metropolitan Police Department of the District of Columbia that manages real-time responses to major incidents, emergencies, and large-scale events.
  • B. Directorate of Analysis
    The Directorate of Analysis is the Central Intelligence Agency’s primary unit responsible for evaluating intelligence information and producing assessments to inform U.S. national security decision-making.
  • C. United Nations Institute for Training and Research
    The United Nations Institute for Training and Research (UNITAR) is a UN training arm that provides capacity-building and education programs to help governments, organizations, and individuals address global challenges such as peace, security, climate change, and sustainable development.
  • D. SAARC Disaster Management Centre
    The SAARC Disaster Management Centre is a regional institution that coordinates and supports South Asian countries in disaster risk reduction, preparedness, and response efforts.
  • E. Division for the Application of Research Discoveries
    The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
  • 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 Analysis and Lessons Learned Centre
Triple: [Allied Command Transformation, hasSubordinate, Joint Analysis and Lessons Learned Centre]
Generated description
The Joint Analysis and Lessons Learned Centre is a NATO organization dedicated to analyzing operations and exercises to capture, develop, and disseminate lessons that improve the Alliance’s military effectiveness and transformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joint Analysis and Lessons Learned Centre
Target entity description: The Joint Analysis and Lessons Learned Centre is a NATO organization dedicated to analyzing operations and exercises to capture, develop, and disseminate lessons that improve the Alliance’s military effectiveness and transformation.
  • A. Joint Operations Command Center
    The Joint Operations Command Center is a specialized coordination hub within the Metropolitan Police Department of the District of Columbia that manages real-time responses to major incidents, emergencies, and large-scale events.
  • B. Directorate of Analysis
    The Directorate of Analysis is the Central Intelligence Agency’s primary unit responsible for evaluating intelligence information and producing assessments to inform U.S. national security decision-making.
  • C. United Nations Institute for Training and Research
    The United Nations Institute for Training and Research (UNITAR) is a UN training arm that provides capacity-building and education programs to help governments, organizations, and individuals address global challenges such as peace, security, climate change, and sustainable development.
  • D. SAARC Disaster Management Centre
    The SAARC Disaster Management Centre is a regional institution that coordinates and supports South Asian countries in disaster risk reduction, preparedness, and response efforts.
  • E. Division for the Application of Research Discoveries
    The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929e65d08190bcea03f581288cc4 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a7937c2ce481908c04e08e2be02985 completed March 4, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a79761ee34819094a0558ef195d8a0 completed March 4, 2026, 2:22 a.m.
Created at: March 1, 2026, 7:38 p.m.