Triple
T8572397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 875 |
E202958
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Gateways, architectures, and Telnet protocol
"Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
|
E742485
|
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: Gateways, architectures, and Telnet protocol | Statement: [RFC 875, title, Gateways, architectures, and Telnet protocol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gateways, architectures, and Telnet protocol Context triple: [RFC 875, title, Gateways, architectures, and Telnet protocol]
-
A.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
-
B.
Telnet Timing Mark Option
The Telnet Timing Mark Option is a protocol extension that allows a Telnet client and server to coordinate and measure end-to-end transmission delays by inserting special timing mark commands into the data stream.
-
C.
Gateways
"Gateways" is a horror-thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he investigates sinister mysteries in a secluded Florida community.
-
D.
Next Generation Network architectures
Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
-
E.
Telnet
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
- 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: Gateways, architectures, and Telnet protocol Triple: [RFC 875, title, Gateways, architectures, and Telnet protocol]
Generated description
"Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gateways, architectures, and Telnet protocol Target entity description: "Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
-
A.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
-
B.
Telnet Timing Mark Option
The Telnet Timing Mark Option is a protocol extension that allows a Telnet client and server to coordinate and measure end-to-end transmission delays by inserting special timing mark commands into the data stream.
-
C.
Gateways
"Gateways" is a horror-thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he investigates sinister mysteries in a secluded Florida community.
-
D.
Next Generation Network architectures
Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
-
E.
Telnet
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce898cf8648190b52758b6ecf2959b |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8a9df47c81909ba9ef8dff1db7b1 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b48841c8190bcf11aeb25355649 |
completed | April 2, 2026, 3:29 p.m. |
Created at: March 30, 2026, 6:21 p.m.