Triple

T13693071
Position Surface form Disambiguated ID Type / Status
Subject Fishbed E328313 entity
Predicate associatedWithManufacturer P4022 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: [Fishbed, associatedWithManufacturer, Mikoyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikoyan
Context triple: [Fishbed, associatedWithManufacturer, 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. Ilyushin
    Ilyushin is a Soviet and later Russian aircraft design bureau best known for producing a wide range of military and civilian airliners and transport aircraft used extensively across Eastern Bloc countries.
  • C. 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.
  • D. Myasishchev M-4
    The Myasishchev M-4 was a Soviet long-range strategic jet bomber developed in the 1950s as part of the Cold War nuclear deterrent force.
  • E. Tupolev
    Tupolev is a Russian aerospace and defense company best known for designing and producing military and civilian aircraft, including strategic bombers and airliners.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.