Triple

T2176190
Position Surface form Disambiguated ID Type / Status
Subject SINTRAN E48533 entity
Predicate developer P73 FINISHED
Object Norsk Data E48799 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: Norsk Data | Statement: [SINTRAN, developer, Norsk Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norsk Data
Context triple: [SINTRAN, developer, Norsk Data]
  • A. Norsk Data chosen
    Norsk Data was a Norwegian computer company best known for producing the NORD series of minicomputers during the 1970s and 1980s.
  • B. International Computers Limited
    International Computers Limited was a major British computer manufacturer and information technology company that played a significant role in the UK computing industry during the mid-to-late 20th century.
  • C. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • D. Commodore International
    Commodore International was a pioneering computer and electronics company best known for creating popular home computers like the Commodore 64 and the Amiga line.
  • E. Norsk Data NORD-10
    Norsk Data NORD-10 was a 16-bit minicomputer series from the Norwegian company Norsk Data, widely used in the 1970s and 1980s for scientific, technical, and commercial applications.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9eff988190a02734bd73616cba completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.