Triple
T8421826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1519 |
E198873
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy |
E125147
|
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: Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy | Statement: [RFC 1519, title, Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy Context triple: [RFC 1519, title, Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy]
-
A.
Classless Inter-Domain Routing
chosen
Classless Inter-Domain Routing (CIDR) is an IP addressing and routing scheme that replaces traditional class-based networks to enable more efficient allocation of IP address space and improved route aggregation on the internet.
-
B.
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.
-
C.
IP/ICMP Translation Algorithm
IP/ICMP Translation Algorithm is an IETF-specified mechanism that enables interoperability between IPv4 and IPv6 networks by translating IP and ICMP headers and messages between the two protocol versions.
-
D.
Internet Standard Subnetting Procedure
Internet Standard Subnetting Procedure is a foundational networking specification that defines how IP networks are divided into smaller subnetworks to improve routing efficiency and address management.
-
E.
Internet Protocol fragmentation and reassembly
Internet Protocol fragmentation and reassembly is the process by which large IP packets are split into smaller fragments for transmission across networks with limited maximum transmission units and then reassembled back into the original packet at the destination.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb859e22f88190a61e7dd6537644b0 |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035279f48190861b97167fa3882c |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:06 p.m.