Triple

T1597876
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate contains P35 FINISHED
Object Dobříš
Dobříš is a Czech town southwest of Prague known for its historic chateau, formal gardens, and location on the edge of the Brdy Highlands.
 E181633 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: Dobříš | Statement: [Central Bohemian Region, contains, Dobříš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobříš
Context triple: [Central Bohemian Region, contains, Dobříš]
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Zelníčková
    Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • 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: Dobříš
Triple: [Central Bohemian Region, contains, Dobříš]
Generated description
Dobříš is a Czech town southwest of Prague known for its historic chateau, formal gardens, and location on the edge of the Brdy Highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobříš
Target entity description: Dobříš is a Czech town southwest of Prague known for its historic chateau, formal gardens, and location on the edge of the Brdy Highlands.
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Zelníčková
    Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • 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_69ad46a848ec819085c82be8eaea2044 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4841d278819085507528faeaae3e completed March 8, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad48ff11d881909fd6e9e40d5f1f38 completed March 8, 2026, 10:01 a.m.
Created at: March 4, 2026, 7:27 p.m.