Triple

T9917725
Position Surface form Disambiguated ID Type / Status
Subject Liberec Region E185911 entity
Predicate hasCityStatus P3422 FINISHED
Object Turnov
Turnov is a historic town in the northern Czech Republic, known as a gateway to the Bohemian Paradise region and for its traditional gemstone cutting and jewelry-making.
 E830506 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: Turnov | Statement: [Liberec Region, hasCityStatus, Turnov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turnov
Context triple: [Liberec Region, hasCityStatus, Turnov]
  • A. Tatura
    Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
  • B. Vác
    Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
  • C. Švihov
    Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
  • D. Tuřany
    Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
  • E. Karlovo
    Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
  • 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: Turnov
Triple: [Liberec Region, hasCityStatus, Turnov]
Generated description
Turnov is a historic town in the northern Czech Republic, known as a gateway to the Bohemian Paradise region and for its traditional gemstone cutting and jewelry-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turnov
Target entity description: Turnov is a historic town in the northern Czech Republic, known as a gateway to the Bohemian Paradise region and for its traditional gemstone cutting and jewelry-making.
  • A. Tatura
    Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
  • B. Vác
    Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
  • C. Švihov
    Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
  • D. Tuřany
    Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
  • E. Karlovo
    Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5673f108190914e0c172dddc65f completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228b8974c81909a603407ebe3df1f completed April 5, 2026, 9:17 a.m.
NEDg Description generation batch_69d22990ef5881908b6a6100d7dcf6e6 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a0cb0808190a6119dc0268c50b9 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:42 p.m.