Triple

T14865908
Position Surface form Disambiguated ID Type / Status
Subject District IV of Budapest E349614 entity
Predicate hasPart P35 FINISHED
Object Megyer
Megyer is a neighborhood in the northern part of Budapest’s 4th district, known for its residential character and proximity to the Danube.
 E1123531 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: Megyer | Statement: [District IV of Budapest, hasPart, Megyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Megyer
Context triple: [District IV of Budapest, hasPart, Megyer]
  • A. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • B. Poroszló
    Poroszló is a village in northern Hungary situated near Lake Tisza, known for its natural surroundings and eco-tourism opportunities.
  • C. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • D. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • E. Zala
    Zala is a river in western Hungary that flows into Lake Balaton and lends its name to the surrounding Zala region.
  • 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: Megyer
Triple: [District IV of Budapest, hasPart, Megyer]
Generated description
Megyer is a neighborhood in the northern part of Budapest’s 4th district, known for its residential character and proximity to the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Megyer
Target entity description: Megyer is a neighborhood in the northern part of Budapest’s 4th district, known for its residential character and proximity to the Danube.
  • A. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • B. Poroszló
    Poroszló is a village in northern Hungary situated near Lake Tisza, known for its natural surroundings and eco-tourism opportunities.
  • C. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • D. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • E. Zala
    Zala is a river in western Hungary that flows into Lake Balaton and lends its name to the surrounding Zala region.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65ac6a5c81908621dc17edc6b04f completed May 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe6697fe3881908aae42abe56d86f8 completed May 8, 2026, 10:41 p.m.
Created at: April 10, 2026, 1:55 a.m.