Triple

T63727
Position Surface form Disambiguated ID Type / Status
Subject UDP E1266 entity
Predicate usedBy P260 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: [UDP, usedBy, DNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNS
Context triple: [UDP, usedBy, 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. 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.
  • C. RFC 1035
    RFC 1035 is an Internet standards document that defines the implementation details, message formats, and operational procedures for the Domain Name System (DNS).
  • D. ARP
    ARP (Address Resolution Protocol) is a network protocol used to map IP addresses to their corresponding MAC (hardware) addresses within a local network.
  • E. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee576fc8190b42e5d50767beefb completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab9477881908508e3130068bca3 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.