Triple

T4038973
Position Surface form Disambiguated ID Type / Status
Subject Prešov E83895 entity
Predicate twinCity P1072 FINISHED
Object Nyíregyháza
Nyíregyháza is a major city in northeastern Hungary known as an important regional economic, cultural, and educational center.
 E408405 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: Nyíregyháza | Statement: [Prešov, twinCity, Nyíregyháza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyíregyháza
Context triple: [Prešov, twinCity, Nyíregyháza]
  • A. Győr
    Győr is a historic city in northwestern Hungary, known as an important regional cultural and economic center at the confluence of the Danube, Rába, and Rábca rivers.
  • B. Kecskemét
    Kecskemét is a city in central Hungary known for its Art Nouveau architecture, cultural institutions, and role as an administrative and economic center of the region.
  • C. Szeged
    Szeged is a prominent city in southern Hungary known for its university, paprika production, and distinctive Art Nouveau architecture.
  • D. Miskolc
    Miskolc is a large industrial and cultural city in northeastern Hungary, known for its steel industry, historic center, and nearby cave baths.
  • E. Újvidék
    Újvidék is the Hungarian name for Novi Sad, a major cultural and economic center in northern Serbia and the capital of the autonomous province of Vojvodina.
  • 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: Nyíregyháza
Triple: [Prešov, twinCity, Nyíregyháza]
Generated description
Nyíregyháza is a major city in northeastern Hungary known as an important regional economic, cultural, and educational center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyíregyháza
Target entity description: Nyíregyháza is a major city in northeastern Hungary known as an important regional economic, cultural, and educational center.
  • A. Győr
    Győr is a historic city in northwestern Hungary, known as an important regional cultural and economic center at the confluence of the Danube, Rába, and Rábca rivers.
  • B. Kecskemét
    Kecskemét is a city in central Hungary known for its Art Nouveau architecture, cultural institutions, and role as an administrative and economic center of the region.
  • C. Szeged
    Szeged is a prominent city in southern Hungary known for its university, paprika production, and distinctive Art Nouveau architecture.
  • D. Miskolc
    Miskolc is a large industrial and cultural city in northeastern Hungary, known for its steel industry, historic center, and nearby cave baths.
  • E. Újvidék
    Újvidék is the Hungarian name for Novi Sad, a major cultural and economic center in northern Serbia and the capital of the autonomous province of Vojvodina.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.