Triple

T22027188
Position Surface form Disambiguated ID Type / Status
Subject IETF BEHAVE working group E543996 entity
Predicate relatedConcept P37 FINISHED
Object NAT64 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: NAT64 | Statement: [IETF BEHAVE working group, relatedConcept, NAT64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAT64
Context triple: [IETF BEHAVE working group, relatedConcept, 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 common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
  • E. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ccc2ec8190a94d69530d00c06c completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.