Triple

T5768072
Position Surface form Disambiguated ID Type / Status
Subject RFC 5766 E127261 entity
Predicate relatedToProtocol P37 FINISHED
Object STUN
STUN (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port as seen by external servers, enabling communication across NAT and firewalls.
E544003 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: STUN | Statement: [RFC 5766, relatedToProtocol, STUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STUN
Context triple: [RFC 5766, relatedToProtocol, STUN]
  • A. STN
    STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • B. STN
    STN is the currency code for the São Tomé and Príncipe dobra, the official monetary unit of São Tomé and Príncipe.
  • C. STC
    STC is the commonly used abbreviation for RAF Strike Command, the former major operational command of the Royal Air Force responsible for the UK’s air combat forces.
  • D. STC
    STC is the acronym commonly used for Mexico City’s Sistema de Transporte Colectivo, the public agency that operates the city’s metro system.
  • E. STU
    STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
  • 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: STUN
Triple: [RFC 5766, relatedToProtocol, STUN]
Generated description
STUN (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port as seen by external servers, enabling communication across NAT and firewalls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: STUN
Target entity description: STUN (Session Traversal Utilities for NAT) is a network protocol that helps devices discover their public IP address and port as seen by external servers, enabling communication across NAT and firewalls.
  • A. STN
    STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • B. STN
    STN is the currency code for the São Tomé and Príncipe dobra, the official monetary unit of São Tomé and Príncipe.
  • C. STC
    STC is the commonly used abbreviation for RAF Strike Command, the former major operational command of the Royal Air Force responsible for the UK’s air combat forces.
  • D. STC
    STC is the acronym commonly used for Mexico City’s Sistema de Transporte Colectivo, the public agency that operates the city’s metro system.
  • E. STU
    STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029731adc8190888adc8178a08e90 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e61127c8190833e279403af6605 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08cc5c48481909c1ac21d586b3263 completed March 23, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69c08d42cac88190b6cd454e8c31a4ef completed March 23, 2026, 12:45 a.m.
Created at: March 22, 2026, 3:49 p.m.