Triple

T14059806
Position Surface form Disambiguated ID Type / Status
Subject Nógrád County E338312 entity
Predicate containsSettlement P847 FINISHED
Object Rétság
Rétság is a small town in northern Hungary known as a local administrative and transport hub within Nógrád County.
 E1077917 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: Rétság | Statement: [Nógrád County, containsSettlement, Rétság]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rétság
Context triple: [Nógrád County, containsSettlement, Rétság]
  • A. Gyál
    Gyál is a town in central Hungary that functions as a suburban residential area near Budapest within Pest County.
  • B. Rába
    Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
  • C. Le Sépey
    Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
  • D. Őrség
    Őrség is a scenic, sparsely populated region in western Hungary known for its traditional villages, rolling landscapes, and preserved natural and cultural heritage.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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: Rétság
Triple: [Nógrád County, containsSettlement, Rétság]
Generated description
Rétság is a small town in northern Hungary known as a local administrative and transport hub within Nógrád County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rétság
Target entity description: Rétság is a small town in northern Hungary known as a local administrative and transport hub within Nógrád County.
  • A. Gyál
    Gyál is a town in central Hungary that functions as a suburban residential area near Budapest within Pest County.
  • B. Rába
    Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
  • C. Le Sépey
    Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
  • D. Őrség
    Őrség is a scenic, sparsely populated region in western Hungary known for its traditional villages, rolling landscapes, and preserved natural and cultural heritage.
  • E. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • 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_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc4fa09448190b662af829712e657 completed May 7, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69fcc5d162c081908750fed589ed2d69 completed May 7, 2026, 5:03 p.m.
Created at: April 9, 2026, 10:21 p.m.