Triple

T381042
Position Surface form Disambiguated ID Type / Status
Subject NORD series E8678 entity
Predicate notableModel P1503 FINISHED
Object NORD-260 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-260 | Statement: [NORD series, notableModel, NORD-260]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORD-260
Context triple: [NORD series, notableModel, NORD-260]
  • 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. NDH
    NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
  • C. JG 26
    JG 26 was a prominent Luftwaffe fighter wing of Nazi Germany during World War II, noted for its experienced pilots and extensive combat on the Western Front.
  • D. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • E. NORMARC
    NORMARC is a Norwegian implementation of the MARC bibliographic metadata standard used by libraries to catalog and exchange information about their collections.
  • 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_69a41b44959c8190a793b4e5af838c7c completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.