Triple

T14372213
Position Surface form Disambiguated ID Type / Status
Subject Samsung E356383 entity
Predicate subsidiary P258 FINISHED
Object Samsung SDS E73307 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: Samsung SDS | Statement: [Samsung, subsidiary, Samsung SDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samsung SDS
Context triple: [Samsung, subsidiary, Samsung SDS]
  • A. Samsung SDS chosen
    Samsung SDS is an information technology and consulting services company within the Samsung Group, specializing in IT solutions, cloud, and digital transformation services.
  • B. Samsung C&T
    Samsung C&T is a South Korean construction and trading company known for executing major global projects, including landmark skyscrapers and large-scale infrastructure.
  • C. Samsung
    Samsung is a South Korean multinational conglomerate best known globally for its smartphones, consumer electronics, and advanced semiconductor technologies.
  • D. Samsung Electro-Mechanics
    Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
  • E. Samsung SDI
    Samsung SDI is a South Korean company specializing in the development and manufacture of rechargeable batteries and energy storage solutions for applications ranging from consumer electronics to electric vehicles.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.