Triple

T8186017
Position Surface form Disambiguated ID Type / Status
Subject South Bohemian Region E191184 entity
Predicate containsTown P847 FINISHED
Object Lišov
Lišov is a small town in the South Bohemian Region of the Czech Republic, known for its traditional architecture and rural Central European character.
 E716889 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: Lišov | Statement: [South Bohemian Region, containsTown, Lišov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lišov
Context triple: [South Bohemian Region, containsTown, Lišov]
  • A. Holýšov
    Holýšov is a town in the Czech Republic known for its industrial history and location in the western Plzeň Region.
  • B. Libeň
    Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
  • C. Tišnov
    Tišnov is a small historic town in the South Moravian Region of the Czech Republic, located northwest of Brno.
  • D. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • E. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • 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: Lišov
Triple: [South Bohemian Region, containsTown, Lišov]
Generated description
Lišov is a small town in the South Bohemian Region of the Czech Republic, known for its traditional architecture and rural Central European character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lišov
Target entity description: Lišov is a small town in the South Bohemian Region of the Czech Republic, known for its traditional architecture and rural Central European character.
  • A. Holýšov
    Holýšov is a town in the Czech Republic known for its industrial history and location in the western Plzeň Region.
  • B. Libeň
    Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
  • C. Tišnov
    Tišnov is a small historic town in the South Moravian Region of the Czech Republic, located northwest of Brno.
  • D. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • E. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf9a0e24819098f1693e78dc7445 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315c73c81908ba65073c5eab6e1 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd878b97c8190aa20cadb052b34d3 completed April 1, 2026, 8:34 a.m.
Created at: March 30, 2026, 5:41 p.m.