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.