Triple

T2464657
Position Surface form Disambiguated ID Type / Status
Subject Apple A16 Bionic E55216 entity
Predicate foundry P5125 FINISHED
Object TSMC E38958 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: TSMC | Statement: [Apple A16 Bionic, foundry, TSMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSMC
Context triple: [Apple A16 Bionic, foundry, TSMC]
  • A. TSMC chosen
    TSMC (Taiwan Semiconductor Manufacturing Company) is the world’s largest dedicated semiconductor foundry, renowned for producing cutting-edge chips for major technology companies.
  • 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. Infineon Technologies
    Infineon Technologies is a leading German semiconductor manufacturer known for its automotive, power, and security electronics solutions.
  • D. SK hynix
    SK hynix is a South Korean semiconductor company and one of the world’s leading manufacturers of memory chips, including DRAM and NAND flash.
  • E. Qualcomm
    Qualcomm is a leading American semiconductor and telecommunications company best known for designing Snapdragon mobile processors and developing key wireless technologies such as 3G, 4G, and 5G.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1799b530819095d828c9d4a9dc9c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.