Triple

T2773865
Position Surface form Disambiguated ID Type / Status
Subject Huawei E61521 entity
Predicate hasBrand P1500 FINISHED
Object Huawei P series E215017 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 P series | Statement: [Huawei, hasBrand, Huawei P series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huawei P series
Context triple: [Huawei, hasBrand, Huawei P series]
  • A. Huawei P series chosen
    The Huawei P series is a line of high-end Android smartphones from Huawei, known for its premium design and advanced camera technology.
  • 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. Nokia 7 series
    The Nokia 7 series is a mid-range Android smartphone line known for its clean software, solid build quality, and Zeiss-branded cameras, produced under the Nokia brand by HMD Global.
  • 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. Nokia 8 series
    The Nokia 8 series is a line of Android-based flagship smartphones known for their premium build, clean software experience, and Zeiss-branded camera systems.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7e29e08190921fd4ac9d0679ec completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64c83748190921589bec20dec58 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.