Triple

T9397740
Position Surface form Disambiguated ID Type / Status
Subject László E226387 entity
Predicate hasShortForm P43 FINISHED
Object Lacika
Lacika is a Hungarian diminutive or affectionate nickname derived from the male given name László.
 E796907 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: Lacika | Statement: [László, hasShortForm, Lacika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lacika
Context triple: [László, hasShortForm, Lacika]
  • A. 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.
  • B. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • C. 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.
  • D. Losonczi
    Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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: Lacika
Triple: [László, hasShortForm, Lacika]
Generated description
Lacika is a Hungarian diminutive or affectionate nickname derived from the male given name László.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lacika
Target entity description: Lacika is a Hungarian diminutive or affectionate nickname derived from the male given name László.
  • A. 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.
  • B. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • C. 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.
  • D. Losonczi
    Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1011aef64819085cbb7e04c2d87b2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d1054d18ec8190b88dc95f785a370a completed April 4, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69d105b7570481909f90b7588e210667 completed April 4, 2026, 12:36 p.m.
Created at: March 30, 2026, 7:46 p.m.