Triple

T1405339
Position Surface form Disambiguated ID Type / Status
Subject .pl E31678 entity
Predicate registryName P27638 FINISHED
Object Naukowa i Akademicka Sieć Komputerowa
Naukowa i Akademicka Sieć Komputerowa (NASK) is a Polish research and development organization that operates the country’s academic and scientific computer network and provides key internet services and cybersecurity solutions.
E162338 NE FINISHED

How this triple was built (5 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: Naukowa i Akademicka Sieć Komputerowa | Statement: [.pl, registryName, Naukowa i Akademicka Sieć Komputerowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naukowa i Akademicka Sieć Komputerowa
Context triple: [.pl, registryName, Naukowa i Akademicka Sieć Komputerowa]
  • A. NSFNET
    NSFNET was a high-speed, federally funded backbone network that expanded and commercialized the early internet across U.S. research and educational institutions.
  • B. ARPANET
    ARPANET was the pioneering packet-switching network developed in the late 1960s that became the technical foundation of the modern Internet.
  • C. National Center for Supercomputing Applications
    The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
  • D. 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.
  • E. ARPANET Interface Message Processor platform
    The ARPANET Interface Message Processor platform was the specialized packet-switching computer system that formed the backbone of the early ARPANET, handling data routing between host machines in the first large-scale packet-switched network.
  • 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: Naukowa i Akademicka Sieć Komputerowa
Triple: [.pl, registryName, Naukowa i Akademicka Sieć Komputerowa]
Generated description
Naukowa i Akademicka Sieć Komputerowa (NASK) is a Polish research and development organization that operates the country’s academic and scientific computer network and provides key internet services and cybersecurity solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naukowa i Akademicka Sieć Komputerowa
Target entity description: Naukowa i Akademicka Sieć Komputerowa (NASK) is a Polish research and development organization that operates the country’s academic and scientific computer network and provides key internet services and cybersecurity solutions.
  • A. NSFNET
    NSFNET was a high-speed, federally funded backbone network that expanded and commercialized the early internet across U.S. research and educational institutions.
  • B. ARPANET
    ARPANET was the pioneering packet-switching network developed in the late 1960s that became the technical foundation of the modern Internet.
  • C. National Center for Supercomputing Applications
    The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
  • D. 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.
  • E. ARPANET Interface Message Processor platform
    The ARPANET Interface Message Processor platform was the specialized packet-switching computer system that formed the backbone of the early ARPANET, handling data routing between host machines in the first large-scale packet-switched network.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: registryName
Context triple: [.pl, registryName, Naukowa i Akademicka Sieć Komputerowa]
  • A. registryType
    Indicates the specific category or classification of a registry that an entity is associated with or recorded in.
  • B. ringName
    Indicates that a ring is identified or referred to by a specific name.
  • C. registrationPrefix
    Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
  • D. registrationSuffix
    Indicates the trailing part or extension added to a base registration identifier to form a complete registration code.
  • E. regionNamedAfter
    Indicates that a geographic region derives its name from a specific person, place, event, or other entity.
  • F. None of above. chosen

Provenance (7 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bc55a08190a4dfe13a5378aff3 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace639296881909dc3fe52720d120d completed March 8, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69ace7730cf08190a4e0329be205da3f completed March 8, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c11067b48190bca6ef3ac1475c20 completed March 1, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:59 p.m.