Triple

T12042171
Position Surface form Disambiguated ID Type / Status
Subject Tachov District E286688 entity
Predicate contains P35 FINISHED
Object Černošín
Černošín is a small town in the Plzeň Region of the Czech Republic known for its rural character and historical architecture.
E963107 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: Černošín | Statement: [Tachov District, contains, Černošín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Černošín
Context triple: [Tachov District, contains, Černošín]
  • A. Tvrdošín
    Tvrdošín is a town in northern Slovakia known for its historic wooden church and location near the Orava region’s natural attractions.
  • B. Cervenka
    Cervenka is the surname of Exene Cervenka, the American singer, artist, and co-founder of the influential Los Angeles punk band X.
  • C. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • D. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • E. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • 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: Černošín
Triple: [Tachov District, contains, Černošín]
Generated description
Černošín is a small town in the Plzeň Region of the Czech Republic known for its rural character and historical architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Černošín
Target entity description: Černošín is a small town in the Plzeň Region of the Czech Republic known for its rural character and historical architecture.
  • A. Tvrdošín
    Tvrdošín is a town in northern Slovakia known for its historic wooden church and location near the Orava region’s natural attractions.
  • B. Cervenka
    Cervenka is the surname of Exene Cervenka, the American singer, artist, and co-founder of the influential Los Angeles punk band X.
  • C. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • D. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • E. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f649dbf081908e76c45e362217c1 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fc5d6d808190ba96e08fd7d1f045 completed May 2, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69f5fd149d9c8190a9d6e021801632d4 completed May 2, 2026, 1:33 p.m.
Created at: April 8, 2026, 9:47 p.m.