Triple

T5479265
Position Surface form Disambiguated ID Type / Status
Subject NAT-T E123430 entity
Predicate relatedTo P37 FINISHED
Object IKEv2 E123427 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: IKEv2 | Statement: [NAT-T, relatedTo, IKEv2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKEv2
Context triple: [NAT-T, relatedTo, IKEv2]
  • A. IKEv2 chosen
    IKEv2 is a modern key management and security association protocol used to establish and maintain secure VPN connections in IPsec-based networks.
  • B. IKEv1
    IKEv1 is the original version of the Internet Key Exchange protocol used to establish secure, authenticated communication channels for IPsec VPNs.
  • C. IPsec
    IPsec is a suite of protocols that provides secure, encrypted communication over IP networks by authenticating and protecting the integrity and confidentiality of data packets.
  • D. OpenVPN
    OpenVPN is an open-source virtual private network (VPN) solution that enables secure, encrypted connections over the internet for remote access and site-to-site networking.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9247a16c8190ac5a02534da48853 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70d919e08190a4fae4359cf8c951 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:09 p.m.