Triple

T11704008
Position Surface form Disambiguated ID Type / Status
Subject Zemplín E278195 entity
Predicate contains P35 FINISHED
Object Zemplínska šírava
Zemplínska šírava is a large artificial lake and popular recreational reservoir in eastern Slovakia, known for water sports and tourism.
E941845 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: Zemplínska šírava | Statement: [Zemplín, contains, Zemplínska šírava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zemplínska šírava
Context triple: [Zemplín, contains, Zemplínska šírava]
  • A. Zemplín
    Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
  • B. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • C. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • D. Tatranská Lomnica
    Tatranská Lomnica is a popular mountain resort village in the High Tatras known for its skiing, hiking, and scenic alpine landscapes.
  • E. Jeseník
    Jeseník is a spa and mountain town in the northeastern Czech Republic, known for its natural springs and location in the Jeseníky mountain range.
  • 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: Zemplínska šírava
Triple: [Zemplín, contains, Zemplínska šírava]
Generated description
Zemplínska šírava is a large artificial lake and popular recreational reservoir in eastern Slovakia, known for water sports and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zemplínska šírava
Target entity description: Zemplínska šírava is a large artificial lake and popular recreational reservoir in eastern Slovakia, known for water sports and tourism.
  • A. Zemplín
    Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
  • B. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • C. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • D. Tatranská Lomnica
    Tatranská Lomnica is a popular mountain resort village in the High Tatras known for its skiing, hiking, and scenic alpine landscapes.
  • E. Jeseník
    Jeseník is a spa and mountain town in the northeastern Czech Republic, known for its natural springs and location in the Jeseníky mountain range.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.