Triple

T9312934
Position Surface form Disambiguated ID Type / Status
Subject B-root E224047 entity
Predicate protocol P1992 FINISHED
Object DNS E1065 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: DNS | Statement: [B-root, protocol, DNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNS
Context triple: [B-root, protocol, DNS]
  • A. Domain Name System chosen
    The Domain Name System (DNS) is the hierarchical, distributed naming infrastructure of the internet that translates human-readable domain names into numerical IP addresses used by computers.
  • B. OpenDNS
    OpenDNS is a cloud-delivered DNS and security service provider known for web filtering, phishing protection, and enterprise network security solutions.
  • C. DNS over HTTPS
    DNS over HTTPS is a protocol that sends DNS queries and responses over encrypted HTTPS connections to enhance privacy and security.
  • D. Dienst der Domeinen
    Dienst der Domeinen was a former Dutch government agency responsible for managing and disposing of state-owned property and assets.
  • E. Domain Name System root zone
    The Domain Name System root zone is the top-level, authoritative directory of the internet’s domain name hierarchy, mapping top-level domains to their corresponding name servers.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.