Triple

T11017270
Position Surface form Disambiguated ID Type / Status
Subject ND-100 E260395 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: [ND-100, developer, Norsk Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norsk Data
Context triple: [ND-100, 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. Rossum Corporation
    Rossum Corporation is a powerful and morally dubious tech conglomerate in the TV series "Dollhouse," responsible for the mind-wiping and imprinting technology used to control human "dolls."
  • C. 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.
  • D. Compagnie Internationale pour l’Informatique
    Compagnie Internationale pour l’Informatique was a major French computer company created in the 1960s as part of a national effort to develop an independent computing industry.
  • E. Finn.no AS
    Finn.no AS is a leading Norwegian online marketplace company best known for its classified ads platform for jobs, real estate, vehicles, and goods.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.