Triple

T2176201
Position Surface form Disambiguated ID Type / Status
Subject SINTRAN E48533 entity
Predicate designedFor P98 FINISHED
Object NORD-500
NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
E244410 NE FINISHED

How this triple was built (4 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: [SINTRAN, designedFor, NORD-500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORD-500
Context triple: [SINTRAN, designedFor, NORD-500]
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • C. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Cordis
    Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NORD-500
Triple: [SINTRAN, designedFor, NORD-500]
Generated description
NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NORD-500
Target entity description: NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • C. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Cordis
    Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
  • F. None of above. chosen

Provenance (5 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_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:45 p.m.