Triple

T10841973
Position Surface form Disambiguated ID Type / Status
Subject Major Archbishop of Hajdúdorog E255909 entity
Predicate seat P75 FINISHED
Object Hajdúdorog
Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
 E1009392 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: Hajdúdorog | Statement: [Major Archbishop of Hajdúdorog, seat, Hajdúdorog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hajdúdorog
Context triple: [Major Archbishop of Hajdúdorog, seat, Hajdúdorog]
  • A. Dombóvár
    Dombóvár is a town in southern Hungary known as an important local transport and economic center within Tolna County.
  • B. Hajdúszoboszló
    Hajdúszoboszló is a Hungarian spa town renowned for its thermal baths and large water park, making it a major health and wellness tourism destination.
  • C. Dunakeszi
    Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
  • D. Derecske
    Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
  • E. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • 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: Hajdúdorog
Triple: [Major Archbishop of Hajdúdorog, seat, Hajdúdorog]
Generated description
Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hajdúdorog
Target entity description: Hajdúdorog is a town in northeastern Hungary known as a center of the Hungarian Greek Catholic Church.
  • A. Dombóvár
    Dombóvár is a town in southern Hungary known as an important local transport and economic center within Tolna County.
  • B. Hajdúszoboszló
    Hajdúszoboszló is a Hungarian spa town renowned for its thermal baths and large water park, making it a major health and wellness tourism destination.
  • C. Dunakeszi
    Dunakeszi is a town in Hungary located just north of Budapest, known as a rapidly growing suburban and commuter settlement along the Danube in Pest County.
  • D. Derecske
    Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
  • E. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750ccb95c81908fec4885e6172f78 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a616f6e4819096c9850434882548 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a716bb2c81909dccc5ddbf3c92b5 completed May 3, 2026, 1:38 a.m.
Created at: April 8, 2026, 9:19 p.m.