Triple

T381040
Position Surface form Disambiguated ID Type / Status
Subject NORD series E8678 entity
Predicate notableModel P1503 FINISHED
Object NORD-1000 E8678 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: NORD-1000 | Statement: [NORD series, notableModel, NORD-1000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORD-1000
Context triple: [NORD series, notableModel, NORD-1000]
  • A. NORD series chosen
    The NORD series is a line of minicomputers developed by Norwegian company Norsk Data, notable in the 1970s and 1980s for their use in scientific, technical, and real-time computing applications.
  • B. 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.
  • C. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • D. Scandinavium
    Scandinavium is a major indoor arena in Gothenburg, Sweden, best known for hosting top-level ice hockey, concerts, and international sporting events.
  • E. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2c95088190a603bb1ee076ebd6 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413ef8ee4819092beeeb2d6563a2f completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.