Triple

T15912052
Position Surface form Disambiguated ID Type / Status
Subject Olomouc District E385872 entity
Predicate contains P35 FINISHED
Object Velký Týnec
Velký Týnec is a municipality and village in the Olomouc Region of the Czech Republic, known for its historical character and proximity to the city of Olomouc.
E1183823 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: Velký Týnec | Statement: [Olomouc District, contains, Velký Týnec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velký Týnec
Context triple: [Olomouc District, contains, Velký Týnec]
  • A. Vysoké Skalky
    Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
  • B. Velká Deštná
    Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
  • 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. Štiavnik
    Štiavnik is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • E. Stará Turá
    Stará Turá is a small Slovak town known for its location in the hilly western part of the country and its traditional industrial and cultural character.
  • 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: Velký Týnec
Triple: [Olomouc District, contains, Velký Týnec]
Generated description
Velký Týnec is a municipality and village in the Olomouc Region of the Czech Republic, known for its historical character and proximity to the city of Olomouc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Velký Týnec
Target entity description: Velký Týnec is a municipality and village in the Olomouc Region of the Czech Republic, known for its historical character and proximity to the city of Olomouc.
  • A. Vysoké Skalky
    Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
  • B. Velká Deštná
    Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
  • 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. Štiavnik
    Štiavnik is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • E. Stará Turá
    Stará Turá is a small Slovak town known for its location in the hilly western part of the country and its traditional industrial and cultural character.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156601c988190b9bd0cd75897651b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb110a5b88190904f763057e8eb1e completed May 9, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1a5e9b88190b790c81b9500c2ac completed May 9, 2026, 10:13 p.m.
Created at: April 10, 2026, 4:52 a.m.