Triple

T14372337
Position Surface form Disambiguated ID Type / Status
Subject KOSPI E356386 entity
Predicate includes P1393 FINISHED
Object SK hynix E233128 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: SK hynix | Statement: [KOSPI, includes, SK hynix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SK hynix
Context triple: [KOSPI, includes, SK hynix]
  • A. SK hynix chosen
    SK hynix is a South Korean semiconductor company and one of the world’s leading manufacturers of memory chips, including DRAM and NAND flash.
  • B. Micron Technology
    Micron Technology is a leading American semiconductor company known for designing and manufacturing memory and storage solutions, including DRAM and NAND flash products used in computers, mobile devices, and data centers.
  • C. Toshiba Memory Corporation
    Toshiba Memory Corporation was the former memory business of Toshiba, known for producing NAND flash and solid-state storage solutions before being spun off and later rebranded as Kioxia.
  • D. Elpida Group
    Elpida Group is an investment holding company known for owning a significant stake in the UK hospitality firm Mitchells & Butlers plc.
  • E. SanDisk
    SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
  • 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.