Triple

T9090308
Position Surface form Disambiguated ID Type / Status
Subject Kaposvár E217864 entity
Predicate hasMayor P185 FINISHED
Object Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
E800472 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: Károly Szita | Statement: [Kaposvár, hasMayor, Károly Szita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Károly Szita
Context triple: [Kaposvár, hasMayor, Károly Szita]
  • A. Sándor Garbai
    Sándor Garbai was a Hungarian socialist politician who briefly served as the nominal leader of the short-lived Hungarian Soviet Republic in 1919.
  • B. Jenő Bory
    Jenő Bory was a Hungarian architect and sculptor best known for designing and building the eclectic, fairy-tale-like Bory Castle in Székesfehérvár.
  • C. László Papp
    László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
  • D. Vilmos Huszár
    Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
  • E. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • 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: Károly Szita
Triple: [Kaposvár, hasMayor, Károly Szita]
Generated description
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Károly Szita
Target entity description: Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
  • A. Sándor Garbai
    Sándor Garbai was a Hungarian socialist politician who briefly served as the nominal leader of the short-lived Hungarian Soviet Republic in 1919.
  • B. Jenő Bory
    Jenő Bory was a Hungarian architect and sculptor best known for designing and building the eclectic, fairy-tale-like Bory Castle in Székesfehérvár.
  • C. László Papp
    László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
  • D. Vilmos Huszár
    Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
  • E. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d121dce22881909484977629cc8a54 completed April 4, 2026, 2:36 p.m.
NEDg Description generation batch_69d1233a63d481908e322b7e86b5d124 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123d32c808190985da2639d2120f7 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:14 p.m.