Triple

T7833437
Position Surface form Disambiguated ID Type / Status
Subject Vysočina Region E181629 entity
Predicate containsSettlement P847 FINISHED
Object Telč
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
E695949 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: Telč | Statement: [Vysočina Region, containsSettlement, Telč]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telč
Context triple: [Vysočina Region, containsSettlement, Telč]
  • A. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
  • B. Lučenec
    Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
  • C. Tatura
    Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
  • D. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • E. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • 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: Telč
Triple: [Vysočina Region, containsSettlement, Telč]
Generated description
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Telč
Target entity description: Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
  • A. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
  • B. Lučenec
    Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
  • C. Tatura
    Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
  • D. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • E. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064a47648190af2ca2b336584a92 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a9b7bb081909d6aa066ee064093 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb5ded0284819086c40a379b52a5bd completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:45 p.m.