Triple

T21552435
Position Surface form Disambiguated ID Type / Status
Subject Apple A10 Fusion E531795 entity
Predicate foundry P5125 FINISHED
Object TSMC NE NERFINISHED

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 A10 Fusion, foundry, TSMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSMC
Context triple: [Apple A10 Fusion, 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. Taiwan Semiconductor Industry Association
    The Taiwan Semiconductor Industry Association is an industry organization that represents and coordinates Taiwan’s semiconductor companies, promoting their interests and technological development domestically and globally.
  • C. Asml
    Asml is the rail code used to identify Amstelstation in the Dutch railway network.
  • D. ASML
    ASML is a Dutch multinational company that is the world’s leading manufacturer of advanced photolithography equipment used in semiconductor chip production.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:29 p.m.