Triple

T8611495
Position Surface form Disambiguated ID Type / Status
Subject SD Association E203922 entity
Predicate hasMember P10 FINISHED
Object MediaTek E732951 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: MediaTek | Statement: [SD Association, hasMember, MediaTek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MediaTek
Context triple: [SD Association, hasMember, MediaTek]
  • A. MediaTek chosen
    MediaTek is a Taiwanese semiconductor company best known for designing affordable, high-integration system-on-chip solutions for smartphones and other consumer electronics.
  • B. MediaTek SoCs
    MediaTek SoCs are system-on-chip solutions widely used in smartphones, tablets, smart TVs, and IoT devices, known for integrating ARM-based processors to deliver cost-effective performance and connectivity.
  • C. MediaTek Pump Express
    MediaTek Pump Express is a fast-charging technology developed by MediaTek for rapidly recharging compatible mobile devices while managing heat and power efficiency.
  • D. Xiaomi
    Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
  • E. Pixelworks
    Pixelworks is a semiconductor company known for designing and marketing video and display processing solutions for consumer electronics and digital projection devices.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91456a88190a7416b0f1a0327d6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.