Triple

T28505860
Position Surface form Disambiguated ID Type / Status
Subject Ubuntu Kylin E721361 entity
Predicate isPartOf P10 FINISHED
Object Ubuntu ecosystem
The Ubuntu ecosystem is a family of Linux-based operating systems, tools, and communities built around the Ubuntu distribution, supporting diverse use cases from desktops and servers to specialized regional variants.
E192875 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: Ubuntu ecosystem | Statement: [Ubuntu Kylin, isPartOf, Ubuntu ecosystem]
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: Ubuntu ecosystem
Triple: [Ubuntu Kylin, isPartOf, Ubuntu ecosystem]
Generated description
The Ubuntu ecosystem is a family of Linux-based operating systems, tools, and communities built around the Ubuntu distribution, supporting diverse use cases from desktops and servers to specialized regional variants.

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_69f01a5c072081908c7b04bcf6478da9 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f7100c081909230c6172795f3ab completed May 2, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac4e043c81908f22ff5eaa792c9c completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cad1f66808190a06ccb3173820494 completed May 31, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a1cae27c61081908e2d3eeae96fb157 completed May 31, 2026, 9:54 p.m.
Created at: April 28, 2026, 3:09 a.m.