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.