Triple

T14421597
Position Surface form Disambiguated ID Type / Status
Subject MTProto E357597 entity
Predicate hasVersion P455 FINISHED
Object MTProto 1.0 E357597 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: MTProto 1.0 | Statement: [MTProto, hasVersion, MTProto 1.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTProto 1.0
Context triple: [MTProto, hasVersion, MTProto 1.0]
  • A. MTProto encryption protocol chosen
    MTProto encryption protocol is Telegram’s custom-designed cryptographic protocol that secures user data and message transmission across its messaging platform.
  • B. Signal protocol Double Ratchet
    Signal protocol Double Ratchet is a cryptographic key management algorithm that provides end-to-end encryption with forward secrecy and post-compromise security for secure messaging applications.
  • C. MTK
    MTK is the vehicle registration code for the Main-Taunus-Kreis district in the German state of Hesse.
  • D. Long Telegram
    The Long Telegram was a 1946 diplomatic cable by U.S. diplomat George F. Kennan that laid the intellectual foundation for the Cold War strategy of containment against the Soviet Union.
  • E. MessagePack
    MessagePack is a compact, efficient binary serialization format designed to encode structured data for fast transmission and storage across different programming languages.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.