Triple

T8700281
Position Surface form Disambiguated ID Type / Status
Subject ASUS E206511 entity
Predicate nativeName P15 FINISHED
Object 華碩電腦股份有限公司 E206511 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: 華碩電腦股份有限公司 | Statement: [ASUS, nativeName, 華碩電腦股份有限公司]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 華碩電腦股份有限公司
Context triple: [ASUS, nativeName, 華碩電腦股份有限公司]
  • A. ASUS chosen
    ASUS is a Taiwanese multinational technology company best known for producing computers, laptops, motherboards, and other consumer electronics and hardware devices.
  • B. Acer
    Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
  • C. Acer
    Acer is a genus of deciduous trees and shrubs best known for its maples, many of which are valued for their distinctive leaves, vibrant autumn colors, and sap used to produce maple syrup.
  • D. Lenovo
    Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
  • E. VIA Technologies
    VIA Technologies is a Taiwanese fabless semiconductor company best known for designing low-power x86-compatible processors and chipsets for PCs and embedded 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b27bd48190a5f76111ee657553 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef40e7a2881909e2d7eee0d931992 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.