Triple

T381039
Position Surface form Disambiguated ID Type / Status
Subject NORD series E8678 entity
Predicate notableModel P1503 FINISHED
Object NORD-500 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-500 | Statement: [NORD series, notableModel, NORD-500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORD-500
Context triple: [NORD series, notableModel, NORD-500]
  • 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. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • C. Nourse
    Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
  • D. Plegridy
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • E. Philortyx
    Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
  • 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_69a41039ca28819097e6992ad7ccd991 completed March 1, 2026, 10:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.