Triple

T35076534
Position Surface form Disambiguated ID Type / Status
Subject Mi series smartphones E1012322 entity
Predicate hasSubBrand P6092 FINISHED
Object Mi Max series
The Mi Max series is a line of Xiaomi smartphones known for their very large displays and high-capacity batteries, aimed at users who want tablet-like screen size in a phone.
 E1012322 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: Mi Max series | Statement: [Mi series smartphones, hasSubBrand, Mi Max series]
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: Mi Max series
Triple: [Mi series smartphones, hasSubBrand, Mi Max series]
Generated description
The Mi Max series is a line of Xiaomi smartphones known for their very large displays and high-capacity batteries, aimed at users who want tablet-like screen size in a phone.

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_69f76dd32c008190853aef6028f60208 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7865b4684819093f95e659522b75e completed May 3, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c648b77081908351ce57d8155c57 completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37c6ea4f688190bfc3c69da98aefe4 completed June 21, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_6a37c7e9f2e4819081f46285fb314fa4 completed June 21, 2026, 11:15 a.m.
Created at: May 3, 2026, 4:01 p.m.