Triple

T7317473
Position Surface form Disambiguated ID Type / Status
Subject MiG-35 E168449 entity
Predicate manufacturer P490 FINISHED
Object Mikoyan E155759 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: Mikoyan | Statement: [MiG-35, manufacturer, Mikoyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikoyan
Context triple: [MiG-35, manufacturer, Mikoyan]
  • A. Mikoyan design bureau chosen
    Mikoyan design bureau is a Soviet and Russian aerospace design organization best known for creating the MiG series of fighter aircraft.
  • B. Antonov
    Antonov is a Ukrainian aerospace company best known for designing and producing large cargo and passenger aircraft, including some of the world’s heaviest and largest planes.
  • C. Tupolev
    Tupolev is a Russian aerospace and defense company best known for designing and producing military and civilian aircraft, including strategic bombers and airliners.
  • D. OKB Sukhoi
    OKB Sukhoi is a major Russian aerospace design bureau renowned for developing a wide range of military aircraft, including advanced fighter jets and bombers.
  • E. Tupolev Tu-91
    The Tupolev Tu-91 was a Soviet turboprop-powered attack and torpedo bomber prototype developed in the 1950s for carrier-based and coastal strike roles but never entered mass production.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef178b3081908cd0c62466069741 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eef847948190a0f2066008f63efd completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.