Triple

T702798
Position Surface form Disambiguated ID Type / Status
Subject Royal Hungarian Air Force E14033 entity
Predicate usedAircraftModel P1524 FINISHED
Object MÁVAG Héja
The MÁVAG Héja was a Hungarian-built, World War II-era fighter aircraft derived from the Italian Reggiane Re.2000 and used primarily for air defense and combat duties.
 E85095 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: MÁVAG Héja | Statement: [Royal Hungarian Air Force, usedAircraftModel, MÁVAG Héja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MÁVAG Héja
Context triple: [Royal Hungarian Air Force, usedAircraftModel, MÁVAG Héja]
  • A. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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: MÁVAG Héja
Triple: [Royal Hungarian Air Force, usedAircraftModel, MÁVAG Héja]
Generated description
The MÁVAG Héja was a Hungarian-built, World War II-era fighter aircraft derived from the Italian Reggiane Re.2000 and used primarily for air defense and combat duties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MÁVAG Héja
Target entity description: The MÁVAG Héja was a Hungarian-built, World War II-era fighter aircraft derived from the Italian Reggiane Re.2000 and used primarily for air defense and combat duties.
  • A. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9a1dcc81908bdb7b960765fde5 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcae2ef88190a9ea1604429f048a completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5df14e1788190bb2f2cc87cadcb40 completed March 2, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69a5ff5dd4808190bb8ae25fbdca0075 completed March 2, 2026, 9:21 p.m.
Created at: March 1, 2026, 7:36 p.m.