Triple

T5479096
Position Surface form Disambiguated ID Type / Status
Subject Encapsulating Security Payload E123426 entity
Predicate usedIn P98 FINISHED
Object IPsec tunnels E23863 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: IPsec tunnels | Statement: [Encapsulating Security Payload, usedIn, IPsec tunnels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IPsec tunnels
Context triple: [Encapsulating Security Payload, usedIn, IPsec tunnels]
  • A. IPsec chosen
    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.
  • B. 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.
  • C. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • D. IKEv2
    IKEv2 is a modern key management and security association protocol used to establish and maintain secure VPN connections in IPsec-based networks.
  • 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_69bf48a001c081909b0e9f1b36fd10db completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.