Triple

T6182906
Position Surface form Disambiguated ID Type / Status
Subject Gárdony E137985 entity
Predicate hasPart P35 FINISHED
Object Dinnyés
Dinnyés is a village in Fejér County, Hungary, known for its traditional rural character and proximity to Lake Velence.
 E573929 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: Dinnyés | Statement: [Gárdony, hasPart, Dinnyés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dinnyés
Context triple: [Gárdony, hasPart, Dinnyés]
  • A. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • B. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • C. 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.
  • D. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • E. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • 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: Dinnyés
Triple: [Gárdony, hasPart, Dinnyés]
Generated description
Dinnyés is a village in Fejér County, Hungary, known for its traditional rural character and proximity to Lake Velence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dinnyés
Target entity description: Dinnyés is a village in Fejér County, Hungary, known for its traditional rural character and proximity to Lake Velence.
  • A. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • B. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • C. 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.
  • D. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • E. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c14426f414819084bd3bafa81d6c00 completed March 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c144b45a148190a95095d7141ddeb0 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:19 p.m.