Triple
T6439156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6145 |
E129973
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | NAT64 |
E23865
|
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: NAT64 | Statement: [RFC 6145, relatedTo, NAT64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAT64 Context triple: [RFC 6145, relatedTo, NAT64]
-
A.
NAT64
chosen
NAT64 is a network address translation mechanism that enables IPv6-only clients to communicate with IPv4 servers by translating between the two protocol address spaces and packet formats.
-
B.
DNS64
DNS64 is a network mechanism that synthesizes IPv6 addresses from IPv4 DNS records to enable IPv6-only clients to reach IPv4-only servers, typically used together with NAT64.
-
C.
NAT-T
NAT-T (NAT Traversal) is an IPsec extension that enables VPN traffic to pass through Network Address Translation devices by encapsulating IPsec packets in UDP.
-
D.
NAT
NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
-
E.
Teredo
Teredo is a tunneling protocol that enables IPv6 connectivity for devices on IPv4 networks, particularly those behind NAT.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06965a5d48190a5860da9e22dc6e0 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc1ccdc8190a171281a846173c0 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:45 p.m.