Triple

T12480128
Position Surface form Disambiguated ID Type / Status
Subject MateBook series E298281 entity
Predicate category P87 FINISHED
Object Huawei products E61521 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: Huawei products | Statement: [MateBook series, category, Huawei products]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huawei products
Context triple: [MateBook series, category, Huawei products]
  • A. Huawei chosen
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • B. Huawei P series
    The Huawei P series is a line of high-end Android smartphones from Huawei, known for its premium design and advanced camera technology.
  • C. Huawei Mate series
    The Huawei Mate series is a line of high-end smartphones and tablets by Huawei, known for large displays, powerful hardware, and advanced camera and productivity features.
  • D. ZTE
    ZTE is a major Chinese telecommunications and technology company known for manufacturing network equipment and smartphones and competing globally with firms like Nokia and Huawei.
  • E. Xiaomi
    Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2732a08190890493925e41a6e1 completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.