Triple

T28421802
Position Surface form Disambiguated ID Type / Status
Subject Debian non-free component E719957 entity
Predicate distributionFormat P218 FINISHED
Object Debian binary packages
Debian binary packages are precompiled software archives used by Debian-based systems to install and manage applications and libraries via the APT package management infrastructure.
E721377 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: Debian binary packages | Statement: [Debian non-free component, distributionFormat, Debian binary packages]
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: Debian binary packages
Triple: [Debian non-free component, distributionFormat, Debian binary packages]
Generated description
Debian binary packages are precompiled software archives used by Debian-based systems to install and manage applications and libraries via the APT package management infrastructure.

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_69eff6f1c5088190bc24bfbf92f9c017 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64dfb117c8190b611304317c58090 completed May 2, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16331dd494819086eb8b9a31636719 completed May 26, 2026, 11:56 p.m.
NEDg Description generation batch_6a1634d732108190879d926709565d61 completed May 27, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a1637f2c5288190a0dedce173d7e17e completed May 27, 2026, 12:16 a.m.
Created at: April 28, 2026, 1:34 a.m.