Triple

T14612529
Position Surface form Disambiguated ID Type / Status
Subject Tatra lake system E342995 entity
Predicate hasLake P1025 FINISHED
Object Zelené pleso Kežmarské
Zelené pleso Kežmarské is a picturesque alpine tarn in the High Tatras of Slovakia, renowned for its striking green waters and dramatic mountain surroundings.
E1111221 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: Zelené pleso Kežmarské | Statement: [Tatra lake system, hasLake, Zelené pleso Kežmarské]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zelené pleso Kežmarské
Context triple: [Tatra lake system, hasLake, Zelené pleso Kežmarské]
  • A. Štrbské pleso
    Štrbské pleso is a picturesque glacial mountain lake and popular tourist and skiing destination in the High Tatras of northern Slovakia.
  • B. Kaliště
    Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
  • C. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • D. Kšice
    Kšice is a small municipality and village in the Plzeň Region of the Czech Republic.
  • E. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • 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: Zelené pleso Kežmarské
Triple: [Tatra lake system, hasLake, Zelené pleso Kežmarské]
Generated description
Zelené pleso Kežmarské is a picturesque alpine tarn in the High Tatras of Slovakia, renowned for its striking green waters and dramatic mountain surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zelené pleso Kežmarské
Target entity description: Zelené pleso Kežmarské is a picturesque alpine tarn in the High Tatras of Slovakia, renowned for its striking green waters and dramatic mountain surroundings.
  • A. Štrbské pleso
    Štrbské pleso is a picturesque glacial mountain lake and popular tourist and skiing destination in the High Tatras of northern Slovakia.
  • B. Kaliště
    Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
  • C. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • D. Kšice
    Kšice is a small municipality and village in the Plzeň Region of the Czech Republic.
  • E. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb35a57f08190a2d3fe426185bc31 completed May 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69fdb400e08081908d0a782908ba5459 completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.