Triple

T14148050
Position Surface form Disambiguated ID Type / Status
Subject District VIII (Józsefváros) E350603 entity
Predicate hasCityPart P12399 FINISHED
Object Kerepesdűlő (part)
Kerepesdűlő is a neighborhood within Budapest’s 8th District (Józsefváros), characterized by its mixed residential and industrial areas and proximity to major transport routes.
 E1081677 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: Kerepesdűlő (part) | Statement: [District VIII (Józsefváros), hasCityPart, Kerepesdűlő (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerepesdűlő (part)
Context triple: [District VIII (Józsefváros), hasCityPart, Kerepesdűlő (part)]
  • A. Kenderes
    Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
  • B. Dunaharaszti
    Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
  • C. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • D. Kispogoi
    Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
  • E. Kiskunhalas
    Kiskunhalas is a town in southern Hungary known for its traditional lace-making and agricultural economy.
  • 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: Kerepesdűlő (part)
Triple: [District VIII (Józsefváros), hasCityPart, Kerepesdűlő (part)]
Generated description
Kerepesdűlő is a neighborhood within Budapest’s 8th District (Józsefváros), characterized by its mixed residential and industrial areas and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerepesdűlő (part)
Target entity description: Kerepesdűlő is a neighborhood within Budapest’s 8th District (Józsefváros), characterized by its mixed residential and industrial areas and proximity to major transport routes.
  • A. Kenderes
    Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
  • B. Dunaharaszti
    Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
  • C. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • D. Kispogoi
    Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
  • E. Kiskunhalas
    Kiskunhalas is a town in southern Hungary known for its traditional lace-making and agricultural economy.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce266b2a08190998f04913064e43f completed May 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69fce2cd8cb481908e3e5a421e732948 completed May 7, 2026, 7:06 p.m.
Created at: April 10, 2026, 12:55 a.m.