Triple

T10024576
Position Surface form Disambiguated ID Type / Status
Subject DNS over TLS E200693 entity
Predicate abbreviation P43 FINISHED
Object DoT
DoT is a security protocol that encrypts DNS queries and responses using Transport Layer Security to protect user privacy and prevent eavesdropping or tampering.
 E835282 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: DoT | Statement: [DNS over TLS, abbreviation, DoT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DoT
Context triple: [DNS over TLS, abbreviation, DoT]
  • A. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • B. DOT
    DOT is the Philippine government agency responsible for promoting tourism, developing tourist destinations, and formulating national tourism policies.
  • C. K.Dot
    K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
  • D. DOTD
    DOTD is the state agency responsible for planning, constructing, and maintaining Louisiana’s transportation infrastructure and related development projects.
  • E. Dotdot
    Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
  • 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: DoT
Triple: [DNS over TLS, abbreviation, DoT]
Generated description
DoT is a security protocol that encrypts DNS queries and responses using Transport Layer Security to protect user privacy and prevent eavesdropping or tampering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DoT
Target entity description: DoT is a security protocol that encrypts DNS queries and responses using Transport Layer Security to protect user privacy and prevent eavesdropping or tampering.
  • A. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • B. DOT
    DOT is the Philippine government agency responsible for promoting tourism, developing tourist destinations, and formulating national tourism policies.
  • C. K.Dot
    K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
  • D. DOTD
    DOTD is the state agency responsible for planning, constructing, and maintaining Louisiana’s transportation infrastructure and related development projects.
  • E. Dotdot
    Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7d9c9c81909a0a0917deed0973 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26cc38274819090cf10c2fcf43cc7 completed April 5, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69d26d2c91fc8190bc40a678662c19aa completed April 5, 2026, 2:09 p.m.
Created at: March 30, 2026, 8:53 p.m.