Triple

T19841736
Position Surface form Disambiguated ID Type / Status
Subject Krompachy E476747 entity
Predicate hasNearbySkiResort P350 FINISHED
Object Plejsy
Plejsy is a ski resort near the town of Krompachy in eastern Slovakia, known for its downhill slopes and winter sports facilities.
 E1398822 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: Plejsy | Statement: [Krompachy, hasNearbySkiResort, Plejsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plejsy
Context triple: [Krompachy, hasNearbySkiResort, Plejsy]
  • A. Ploučnice
    Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
  • B. Vejby
    Vejby is a small town in North Zealand, Denmark, known for its rural surroundings and access to the Gribskov railway line.
  • C. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • D. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • E. Krommenie
    Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • 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: Plejsy
Triple: [Krompachy, hasNearbySkiResort, Plejsy]
Generated description
Plejsy is a ski resort near the town of Krompachy in eastern Slovakia, known for its downhill slopes and winter sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plejsy
Target entity description: Plejsy is a ski resort near the town of Krompachy in eastern Slovakia, known for its downhill slopes and winter sports facilities.
  • A. Ploučnice
    Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
  • B. Vejby
    Vejby is a small town in North Zealand, Denmark, known for its rural surroundings and access to the Gribskov railway line.
  • C. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • D. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • E. Krommenie
    Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65806375c8190a4f45f14aeb06515 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d438c0208190a6d5b6781b99d37e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8082bfc81909db58a0477c4d55f completed May 16, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8744bdc8190adfcc428ff55e790 completed May 16, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:51 p.m.