Triple

T12082920
Position Surface form Disambiguated ID Type / Status
Subject Prague 6 E287726 entity
Predicate contains P35 FINISHED
Object Vokovice
Vokovice is a residential district in the northwest of Prague known for its green spaces and proximity to the Divoká Šárka nature reserve.
 E968100 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: Vokovice | Statement: [Prague 6, contains, Vokovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vokovice
Context triple: [Prague 6, contains, Vokovice]
  • A. 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.
  • B. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • C. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • D. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • 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: Vokovice
Triple: [Prague 6, contains, Vokovice]
Generated description
Vokovice is a residential district in the northwest of Prague known for its green spaces and proximity to the Divoká Šárka nature reserve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vokovice
Target entity description: Vokovice is a residential district in the northwest of Prague known for its green spaces and proximity to the Divoká Šárka nature reserve.
  • A. 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.
  • B. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • C. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • D. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:48 p.m.