Triple

T1597873
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate contains P35 FINISHED
Object Čáslav
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
 E183261 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: Čáslav | Statement: [Central Bohemian Region, contains, Čáslav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Čáslav
Context triple: [Central Bohemian Region, contains, Čáslav]
  • A. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • B. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • C. Kuchlak
    Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • 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: Čáslav
Triple: [Central Bohemian Region, contains, Čáslav]
Generated description
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Čáslav
Target entity description: Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • A. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • B. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • C. Kuchlak
    Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Kopechne
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad52d3e4e881908b107f02cd674321 completed March 8, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69ad5376fdac819084fa606fc670d531 completed March 8, 2026, 10:46 a.m.
Created at: March 4, 2026, 7:27 p.m.