Triple

T34831237
Position Surface form Disambiguated ID Type / Status
Subject Adaptive Acquisition Framework E1004068 entity
Predicate governedBy P46 FINISHED
Object DoD Instruction 5000.90
DoD Instruction 5000.90 is a U.S. Department of Defense policy document that establishes requirements and guidance for implementing data-driven, modern acquisition practices across defense programs.
E2126865 NE FINISHED

How this triple was built (2 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: DoD Instruction 5000.90 | Statement: [Adaptive Acquisition Framework, governedBy, DoD Instruction 5000.90]
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: DoD Instruction 5000.90
Triple: [Adaptive Acquisition Framework, governedBy, DoD Instruction 5000.90]
Generated description
DoD Instruction 5000.90 is a U.S. Department of Defense policy document that establishes requirements and guidance for implementing data-driven, modern acquisition practices across defense programs.

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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78109770481908932597efb52b636 completed May 3, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d9341d048190b0f208e97fa0eba5 completed June 21, 2026, 12:29 p.m.
NEDg Description generation batch_6a37da28a3bc8190b36abb1d36a5c930 completed June 21, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_6a37db99ec64819084312c5bc5269fe3 completed June 21, 2026, 12:39 p.m.
Created at: May 3, 2026, 4 p.m.