Triple

T12914394
Position Surface form Disambiguated ID Type / Status
Subject Mil Mi-6 E308937 entity
Predicate variant P4680 FINISHED
Object Mi-6R E308937 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: Mi-6R | Statement: [Mil Mi-6, variant, Mi-6R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mi-6R
Context triple: [Mil Mi-6, variant, Mi-6R]
  • A. Mil Mi-6 chosen
    The Mil Mi-6 is a large Soviet-era heavy-lift transport helicopter, notable for being one of the world’s earliest and most powerful turbine-powered helicopters used extensively for both military and civilian roles.
  • B. Mil Mi-54
    The Mil Mi-54 is a proposed Russian light twin-engine utility helicopter intended as a modern replacement for older Soviet-era models like the Mi-2.
  • C. Mil Mi-60
    The Mil Mi-60 is a proposed light utility helicopter concept developed by Russia’s Mil design bureau as a modern, compact rotorcraft for civilian and military applications.
  • D. Westland Lynx
    The Westland Lynx is a British multi-role military helicopter renowned for its agility and widespread use in both army and naval variants since the 1970s.
  • E. Lynx helicopter
    The Lynx helicopter is a British multi-role military helicopter renowned for its agility and service with both army and naval aviation units worldwide.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e7e9fc8190ad065a587c6c45dd completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:41 p.m.