Triple

T2045496
Position Surface form Disambiguated ID Type / Status
Subject Apple M2 Pro E45440 entity
Predicate manufacturer P490 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 M2 Pro, manufacturer, TSMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSMC
Context triple: [Apple M2 Pro, 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. Infineon Technologies
    Infineon Technologies is a leading German semiconductor manufacturer known for its automotive, power, and security electronics solutions.
  • C. 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.
  • D. Fairchild Semiconductor
    Fairchild Semiconductor was a pioneering American semiconductor company that played a central role in the development of Silicon Valley and the modern integrated circuit industry.
  • E. Foxconn
    Foxconn is a major Taiwanese multinational electronics manufacturer best known for assembling products for companies like Apple, including iPhones and other consumer devices.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200125f081909ab40b6a04adaa25 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.