Triple

T8399820
Position Surface form Disambiguated ID Type / Status
Subject EUV lithography E198143 entity
Predicate developedBy P73 FINISHED
Object ASML E352781 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: ASML | Statement: [EUV lithography, developedBy, ASML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASML
Context triple: [EUV lithography, developedBy, ASML]
  • A. ASML chosen
    ASML is a Dutch multinational company that is the world’s leading manufacturer of advanced photolithography equipment used in semiconductor chip production.
  • B. Asml
    Asml is the rail code used to identify Amstelstation in the Dutch railway network.
  • C. Lam Research
    Lam Research is a leading American semiconductor equipment company that supplies wafer fabrication tools and services to chip manufacturers worldwide.
  • D. TSMC
    TSMC (Taiwan Semiconductor Manufacturing Company) is the world’s largest dedicated semiconductor foundry, renowned for producing cutting-edge chips for major technology companies.
  • E. Applied Materials
    Applied Materials is a leading American corporation that supplies equipment, services, and software for the manufacture of semiconductors and other advanced electronic components.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824bfcbc8190b26bfcb5f8c4777c completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde86f6e148190812a8a9737310501 completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.