Triple

T12821563
Position Surface form Disambiguated ID Type / Status
Subject Milestone A E306541 entity
Predicate regulatoryFramework P1051 FINISHED
Object Adaptive Acquisition Framework
The Adaptive Acquisition Framework is the U.S. Department of Defense’s modern, flexible system of acquisition pathways and policies designed to streamline how defense capabilities are developed, procured, and fielded.
E1004068 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: Adaptive Acquisition Framework | Statement: [Milestone A, regulatoryFramework, Adaptive Acquisition Framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adaptive Acquisition Framework
Context triple: [Milestone A, regulatoryFramework, Adaptive Acquisition Framework]
  • A. Soft Capture and Rendezvous System
    The Soft Capture and Rendezvous System is a NASA-developed docking interface designed to enable future spacecraft to safely rendezvous with, capture, and potentially service or deorbit satellites such as the Hubble Space Telescope.
  • B. Innovations approach to detection and estimation
    "Innovations approach to detection and estimation" is a seminal work by Thomas Kailath that develops a powerful stochastic framework for solving signal detection and parameter estimation problems, particularly in control and communication systems.
  • C. Adept AI
    Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
  • D. Åström–Wittenmark adaptive control framework
    The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
  • E. Adaptation Framework
    The Adaptation Framework is an international policy framework under the UN climate regime that guides and coordinates global efforts to adapt to the impacts of climate change, particularly in vulnerable developing countries.
  • 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: Adaptive Acquisition Framework
Triple: [Milestone A, regulatoryFramework, Adaptive Acquisition Framework]
Generated description
The Adaptive Acquisition Framework is the U.S. Department of Defense’s modern, flexible system of acquisition pathways and policies designed to streamline how defense capabilities are developed, procured, and fielded.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adaptive Acquisition Framework
Target entity description: The Adaptive Acquisition Framework is the U.S. Department of Defense’s modern, flexible system of acquisition pathways and policies designed to streamline how defense capabilities are developed, procured, and fielded.
  • A. Soft Capture and Rendezvous System
    The Soft Capture and Rendezvous System is a NASA-developed docking interface designed to enable future spacecraft to safely rendezvous with, capture, and potentially service or deorbit satellites such as the Hubble Space Telescope.
  • B. Innovations approach to detection and estimation
    "Innovations approach to detection and estimation" is a seminal work by Thomas Kailath that develops a powerful stochastic framework for solving signal detection and parameter estimation problems, particularly in control and communication systems.
  • C. Adept AI
    Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
  • D. Åström–Wittenmark adaptive control framework
    The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
  • E. Adaptation Framework
    The Adaptation Framework is an international policy framework under the UN climate regime that guides and coordinates global efforts to adapt to the impacts of climate change, particularly in vulnerable developing countries.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed165188190a4cac781c753fb23 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:32 p.m.