Triple

T22017108
Position Surface form Disambiguated ID Type / Status
Subject Apple A9X E543741 entity
Predicate manufacturer P490 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 A9X, manufacturer, TSMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSMC
Context triple: [Apple A9X, manufacturer, 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c4e0088190a5241d1b87d746da completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.