Triple

T22061983
Position Surface form Disambiguated ID Type / Status
Subject RFC 2766 E545175 entity
Predicate shortTitle P38 FINISHED
Object NAT-PT 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: NAT-PT | Statement: [RFC 2766, shortTitle, NAT-PT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAT-PT
Context triple: [RFC 2766, shortTitle, NAT-PT]
  • 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. 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. NAT
    NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
  • D. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • E. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285d5e508190b3124a70fe55b32e completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.