Triple

T10109181
Position Surface form Disambiguated ID Type / Status
Subject Kirov-class battlecruiser E218196 entity
Predicate helicopterType P1524 FINISHED
Object Ka-27 Helix E337448 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: Ka-27 Helix | Statement: [Kirov-class battlecruiser, helicopterType, Ka-27 Helix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ka-27 Helix
Context triple: [Kirov-class battlecruiser, helicopterType, Ka-27 Helix]
  • A. Kamov Ka-28 helicopters chosen
    Kamov Ka-28 helicopters are Russian-made, shipborne anti-submarine warfare helicopters widely used for maritime patrol and submarine detection.
  • B. Mi-17
    The Mi-17 is a Russian-designed, medium-lift military transport helicopter widely used for troop transport, cargo missions, and search-and-rescue operations.
  • C. Mi-8
    The Mi-8 is a Soviet-designed twin-turbine transport helicopter widely used around the world for both military and civilian roles.
  • D. Mil Mi-38
    The Mil Mi-38 is a Russian medium-lift multipurpose helicopter developed as a modern successor to the Mi-8/17 series, featuring upgraded engines, avionics, and increased payload and range capabilities.
  • E. Mil Mi-2
    The Mil Mi-2 is a Soviet light utility helicopter widely used for transport, training, and various civilian and military roles since the 1960s.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cbd8a48190b2af6177d1249f58 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0f48808190855a7f8e839ccdae completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.