Triple

T14148049
Position Surface form Disambiguated ID Type / Status
Subject District VIII (Józsefváros) E350603 entity
Predicate hasCityPart P12399 FINISHED
Object Tisztviselőtelep
Tisztviselőtelep is a historic residential neighborhood in Budapest known for its early 20th-century urban design and middle-class civic servant housing.
E1081676 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: Tisztviselőtelep | Statement: [District VIII (Józsefváros), hasCityPart, Tisztviselőtelep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tisztviselőtelep
Context triple: [District VIII (Józsefváros), hasCityPart, Tisztviselőtelep]
  • A. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • B. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • C. Balvanyos
    Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
  • D. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • E. Kisújszállás
    Kisújszállás is a small town in eastern Hungary known for its agricultural surroundings and location on the Great Hungarian Plain.
  • 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: Tisztviselőtelep
Triple: [District VIII (Józsefváros), hasCityPart, Tisztviselőtelep]
Generated description
Tisztviselőtelep is a historic residential neighborhood in Budapest known for its early 20th-century urban design and middle-class civic servant housing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tisztviselőtelep
Target entity description: Tisztviselőtelep is a historic residential neighborhood in Budapest known for its early 20th-century urban design and middle-class civic servant housing.
  • A. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • B. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • C. Balvanyos
    Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
  • D. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • E. Kisújszállás
    Kisújszállás is a small town in eastern Hungary known for its agricultural surroundings and location on the Great Hungarian Plain.
  • 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.