Triple

T19403013
Position Surface form Disambiguated ID Type / Status
Subject Fugaku E485375 entity
Predicate processorVendor P15692 FINISHED
Object Fujitsu 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: Fujitsu | Statement: [Fugaku, processorVendor, Fujitsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujitsu
Context triple: [Fugaku, processorVendor, Fujitsu]
  • A. Fujitsu Limited chosen
    Fujitsu Limited is a major Japanese multinational information and communications technology company known for its computing products, IT services, and solutions.
  • B. Fujitsu Siemens Computers
    Fujitsu Siemens Computers was a European computer hardware and IT services company formed as a joint venture between Fujitsu Limited and Siemens AG, known for producing PCs, servers, and enterprise systems.
  • C. Fujitsu General
    Fujitsu General is a Japanese electronics company best known globally for manufacturing air conditioning and climate control systems.
  • D. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • E. Toshiba
    Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.