Triple

T1204104
Position Surface form Disambiguated ID Type / Status
Subject Lake Velence E25848 entity
Predicate locatedNear P294 FINISHED
Object 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.
E137985 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: Gárdony | Statement: [Lake Velence, locatedNear, Gárdony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gárdony
Context triple: [Lake Velence, locatedNear, Gárdony]
  • A. 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.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • D. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • E. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • 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: Gárdony
Triple: [Lake Velence, locatedNear, Gárdony]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gárdony
Target entity description: 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.
  • A. 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.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • D. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • E. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbf94188190991f63a84cc76b8a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3caed481908e9e4b6b9daa544d completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fa90f608190bec0c7dff1d7c9ae completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac808a919081908253d1778695ab2d completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:46 p.m.