Triple

T5334215
Position Surface form Disambiguated ID Type / Status
Subject Veszprém County E123785 entity
Predicate containsTown P847 FINISHED
Object Balatonkenese
Balatonkenese is a small Hungarian town on the northeastern shore of Lake Balaton, known as a lakeside resort and holiday destination.
 E512435 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: Balatonkenese | Statement: [Veszprém County, containsTown, Balatonkenese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balatonkenese
Context triple: [Veszprém County, containsTown, Balatonkenese]
  • A. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • D. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • E. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • 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: Balatonkenese
Triple: [Veszprém County, containsTown, Balatonkenese]
Generated description
Balatonkenese is a small Hungarian town on the northeastern shore of Lake Balaton, known as a lakeside resort and holiday destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balatonkenese
Target entity description: Balatonkenese is a small Hungarian town on the northeastern shore of Lake Balaton, known as a lakeside resort and holiday destination.
  • A. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • D. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • E. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a5440d8819094a6da0282408b7b completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1abe1ea88190b681eb18bfa361d7 completed March 21, 2026, 10:25 p.m.
Created at: March 20, 2026, 2 p.m.