Triple

T19096407
Position Surface form Disambiguated ID Type / Status
Subject Yak-130 E467416 entity
Predicate NATOReportingName P6062 FINISHED
Object Mitten
Mitten is the NATO reporting name for the Yakovlev Yak-130, a Russian advanced jet trainer and light attack aircraft.
 E1358119 NE FINISHED

How this triple was built (4 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: Mitten | Statement: [Yak-130, NATOReportingName, Mitten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mitten
Context triple: [Yak-130, NATOReportingName, Mitten]
  • A. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • B. Mitte
    Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
  • C. Mitte
    Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
  • D. Mitte
    Mitte is the central urban district of Saarbrücken, Germany, encompassing much of the city’s administrative, commercial, and cultural core.
  • E. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mitten
Triple: [Yak-130, NATOReportingName, Mitten]
Generated description
Mitten is the NATO reporting name for the Yakovlev Yak-130, a Russian advanced jet trainer and light attack aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mitten
Target entity description: Mitten is the NATO reporting name for the Yakovlev Yak-130, a Russian advanced jet trainer and light attack aircraft.
  • A. Mitte
    Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
  • B. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • C. Mitte
    Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
  • D. Mitte
    Mitte is the central urban district of Saarbrücken, Germany, encompassing much of the city’s administrative, commercial, and cultural core.
  • E. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • F. None of above. chosen

Provenance (5 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd98a1d48190bb46127c0bbc2351 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.