Triple

T6391315
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 395 E143833 entity
Predicate manufacturer P490 FINISHED
Object Hitachi E232184 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: Hitachi | Statement: [British Rail Class 395, manufacturer, Hitachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitachi
Context triple: [British Rail Class 395, manufacturer, Hitachi]
  • A. Hitachi chosen
    Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
  • B. Toshiba
    Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
  • C. Matsushita Electric Industrial Co.
    Matsushita Electric Industrial Co., better known globally by its brand name Panasonic, is a major Japanese multinational electronics manufacturer and technology company.
  • D. Sanyo
    Sanyo is a Japanese electronics brand known for producing a wide range of consumer and industrial electronic products, including televisions, batteries, and home appliances.
  • E. Mitsubishi Electric
    Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687c7fdc819099cbbb937dec215e completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388b02888190989623c658469a5a completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:34 p.m.