Triple

T12920959
Position Surface form Disambiguated ID Type / Status
Subject NIC.TM E309117 entity
Predicate hasTopLevelDomainCategory P19623 FINISHED
Object country-code top-level domain LITERAL 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: country-code top-level domain | Statement: [NIC.TM, hasTopLevelDomainCategory, country-code top-level domain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTopLevelDomainCategory
Context triple: [NIC.TM, hasTopLevelDomainCategory, country-code top-level domain]
  • A. hasTopLevelDomain
    Indicates that one entity (typically a website, domain name, or internet resource) is associated with a specific top-level domain (such as .com, .org, or .uk).
  • B. managesTopLevelDomain
    Indicates that one entity has administrative authority over and is responsible for operating and maintaining a specific top-level domain on the internet.
  • C. hasCategoryLevel
    Indicates that something is associated with a specific hierarchical category or tier within a classification system.
  • D. TLDType chosen
    Indicates the classification or category of a top-level domain (TLD) based on its intended purpose or administrative type.
  • E. hasTopLevel
    Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
  • F. None of above.

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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:41 p.m.