Triple

T21264792
Position Surface form Disambiguated ID Type / Status
Subject RFC 5991 E524097 entity
Predicate subject P450 FINISHED
Object Teredo NE NERFINISHED

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: Teredo | Statement: [RFC 5991, subject, Teredo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teredo
Context triple: [RFC 5991, subject, Teredo]
  • A. Teredo chosen
    Teredo is a tunneling protocol that enables IPv6 connectivity for devices on IPv4 networks, particularly those behind NAT.
  • B. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • C. ISATAP
    ISATAP (Intra-Site Automatic Tunnel Addressing Protocol) is an IPv6 transition mechanism that enables IPv6 connectivity over an IPv4 intranet by encapsulating IPv6 packets within IPv4.
  • D. 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.
  • E. Onionoo
    Onionoo is a web-based protocol and service by The Tor Project that provides structured, real-time data about Tor network relays and bridges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ea74e0819099d724de95996c90 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.