Triple

T11714549
Position Surface form Disambiguated ID Type / Status
Subject Matej Bel University E278458 entity
Predicate namedAfter P63 FINISHED
Object Matej Bel
Matej Bel was an 18th-century Hungarian-Slovak scholar, historian, and polyhistor renowned for his comprehensive works on the geography, history, and culture of the Kingdom of Hungary.
E943368 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: Matej Bel | Statement: [Matej Bel University, namedAfter, Matej Bel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matej Bel
Context triple: [Matej Bel University, namedAfter, Matej Bel]
  • A. Štefan Kacin
    Štefan Kacin is an architect known for his renovation work on major Slovenian cultural institutions, including the National Gallery of Slovenia.
  • B. Andrej Sustr
    Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
  • C. Anton Korošec
    Anton Korošec was a Slovene Roman Catholic priest and politician who became a key leader in South Slavic unification efforts and later a prominent statesman in the Kingdom of Yugoslavia.
  • D. Ivo Danihelka
    Ivo Danihelka is a computer scientist and machine learning researcher known for co-authoring the influential Neural Turing Machines paper.
  • E. Pavol Frešo
    Pavol Frešo is a Slovak politician known for his leadership role in center-right politics and his tenure as governor of the Bratislava 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: Matej Bel
Triple: [Matej Bel University, namedAfter, Matej Bel]
Generated description
Matej Bel was an 18th-century Hungarian-Slovak scholar, historian, and polyhistor renowned for his comprehensive works on the geography, history, and culture of the Kingdom of Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matej Bel
Target entity description: Matej Bel was an 18th-century Hungarian-Slovak scholar, historian, and polyhistor renowned for his comprehensive works on the geography, history, and culture of the Kingdom of Hungary.
  • A. Štefan Kacin
    Štefan Kacin is an architect known for his renovation work on major Slovenian cultural institutions, including the National Gallery of Slovenia.
  • B. Andrej Sustr
    Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
  • C. Anton Korošec
    Anton Korošec was a Slovene Roman Catholic priest and politician who became a key leader in South Slavic unification efforts and later a prominent statesman in the Kingdom of Yugoslavia.
  • D. Ivo Danihelka
    Ivo Danihelka is a computer scientist and machine learning researcher known for co-authoring the influential Neural Turing Machines paper.
  • E. Pavol Frešo
    Pavol Frešo is a Slovak politician known for his leadership role in center-right politics and his tenure as governor of the Bratislava 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0197d03c08190a5515ffe3cc887ea completed April 28, 2026, 2:20 a.m.
NEDg Description generation batch_69f0319271788190a105828ae7582668 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05a44dcb88190a0bb57b0c8fef6b9 completed April 28, 2026, 6:57 a.m.
Created at: April 8, 2026, 9:40 p.m.