Triple

T3427927
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy E72267 entity
Predicate competitor P1375 FINISHED
Object Xiaomi Mi series E321474 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: Xiaomi Mi series | Statement: [Samsung Galaxy, competitor, Xiaomi Mi series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaomi Mi series
Context triple: [Samsung Galaxy, competitor, Xiaomi Mi series]
  • A. Xiaomi chosen
    Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
  • B. 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.
  • C. 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.
  • D. Nokia 5 series
    The Nokia 5 series is a line of mid-range Android smartphones known for their clean software, solid build quality, and value-focused design under the revived Nokia brand.
  • E. Xperia
    Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb983f4608190abcc27aa7b926deb completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35478448481908e1c0f717d99f992 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.