Triple

T1597877
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate contains P35 FINISHED
Object Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
 E184019 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: Vlašim | Statement: [Central Bohemian Region, contains, Vlašim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vlašim
Context triple: [Central Bohemian Region, contains, Vlašim]
  • A. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • B. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • C. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • D. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • E. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • 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: Vlašim
Triple: [Central Bohemian Region, contains, Vlašim]
Generated description
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vlašim
Target entity description: Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
  • A. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • B. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • C. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • D. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • E. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • 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_69ad58c1d9ac819085e497b630a99d96 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad59f12e908190a1cec5f1fc4149d3 completed March 8, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a94c1488190a3853ffb8683d69c completed March 8, 2026, 11:16 a.m.
Created at: March 4, 2026, 7:27 p.m.