Triple

T5854244
Position Surface form Disambiguated ID Type / Status
Subject Sophie E130110 entity
Predicate hasVariant P455 FINISHED
Object Zsófia
Zsófia is the Hungarian form of the female given name Sophie, commonly used in Hungary and among Hungarian speakers.
 E549991 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: Zsófia | Statement: [Sophie, hasVariant, Zsófia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zsófia
Context triple: [Sophie, hasVariant, Zsófia]
  • A. Belá
    Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
  • B. 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.
  • C. Katalin
    Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Budaörs
    Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
  • 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: Zsófia
Triple: [Sophie, hasVariant, Zsófia]
Generated description
Zsófia is the Hungarian form of the female given name Sophie, commonly used in Hungary and among Hungarian speakers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zsófia
Target entity description: Zsófia is the Hungarian form of the female given name Sophie, commonly used in Hungary and among Hungarian speakers.
  • A. Belá
    Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
  • B. 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.
  • C. Katalin
    Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Budaörs
    Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1bc58d081908568294278cbf3a9 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a323d9248190aa803c27be3d5eec completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:55 p.m.