Triple

T4149720
Position Surface form Disambiguated ID Type / Status
Subject Villa Tugendhat E89873 entity
Predicate neighborhood P988 FINISHED
Object Černá Pole
Černá Pole is a residential district in Brno, Czech Republic, known for its early 20th-century architecture and as the location of the UNESCO-listed modernist Villa Tugendhat.
 E424248 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: Černá Pole | Statement: [Villa Tugendhat, neighborhood, Černá Pole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Černá Pole
Context triple: [Villa Tugendhat, neighborhood, Černá Pole]
  • A. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • B. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • C. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • D. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • E. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • 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: Černá Pole
Triple: [Villa Tugendhat, neighborhood, Černá Pole]
Generated description
Černá Pole is a residential district in Brno, Czech Republic, known for its early 20th-century architecture and as the location of the UNESCO-listed modernist Villa Tugendhat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Černá Pole
Target entity description: Černá Pole is a residential district in Brno, Czech Republic, known for its early 20th-century architecture and as the location of the UNESCO-listed modernist Villa Tugendhat.
  • A. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • B. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • C. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • D. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • E. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a843dbb48190917db61981942bd5 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5ac599fc48190b9f83ba48e4ba42b completed March 14, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69b5acc576308190a5e34b580db46944 completed March 14, 2026, 6:45 p.m.
Created at: March 9, 2026, 3:43 p.m.