Triple

T14059745
Position Surface form Disambiguated ID Type / Status
Subject Heves County E338311 entity
Predicate contains P35 FINISHED
Object Pétervására
Pétervására is a small town in northern Hungary known for its historic architecture and role as a local administrative and cultural center.
E1122837 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: Pétervására | Statement: [Heves County, contains, Pétervására]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pétervására
Context triple: [Heves County, contains, Pétervására]
  • A. Tiszavasvári
    Tiszavasvári is a town in northeastern Hungary known for its agricultural surroundings and location within the Northern Great Plain region.
  • B. Parádsasvár
    Parádsasvár is a small village in northern Hungary known for its scenic Mátra mountain surroundings and historic glassworks and castle.
  • C. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • D. Párkány
    Párkány is a town on the Danube River in southern Slovakia, near the Hungarian border, historically known as a strategic site of conflicts between the Habsburg and Ottoman empires.
  • E. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • 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: Pétervására
Triple: [Heves County, contains, Pétervására]
Generated description
Pétervására is a small town in northern Hungary known for its historic architecture and role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pétervására
Target entity description: Pétervására is a small town in northern Hungary known for its historic architecture and role as a local administrative and cultural center.
  • A. Tiszavasvári
    Tiszavasvári is a town in northeastern Hungary known for its agricultural surroundings and location within the Northern Great Plain region.
  • B. Parádsasvár
    Parádsasvár is a small village in northern Hungary known for its scenic Mátra mountain surroundings and historic glassworks and castle.
  • C. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • D. Párkány
    Párkány is a town on the Danube River in southern Slovakia, near the Hungarian border, historically known as a strategic site of conflicts between the Habsburg and Ottoman empires.
  • E. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387c02108190badf9b5051cd9c7a completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe3df36364819081a7275b2ac604a6 completed May 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69fe3e4c9cd08190b83fd437fa96297d completed May 8, 2026, 7:49 p.m.
Created at: April 9, 2026, 10:21 p.m.