Triple

T9876543
Position Surface form Disambiguated ID Type / Status
Subject Brno–Tuřany Airport E240085 entity
Predicate locatedNear P294 FINISHED
Object Tuřany
Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
 E826512 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: Tuřany | Statement: [Brno–Tuřany Airport, locatedNear, Tuřany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuřany
Context triple: [Brno–Tuřany Airport, locatedNear, Tuřany]
  • A. Turiec
    Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
  • B. Русины
    Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
  • C. Strakonice
    Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
  • D. Tábor
    Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
  • E. Tuchkovo
    Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
  • 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: Tuřany
Triple: [Brno–Tuřany Airport, locatedNear, Tuřany]
Generated description
Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuřany
Target entity description: Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
  • A. Turiec
    Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
  • B. Русины
    Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
  • C. Strakonice
    Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
  • D. Tábor
    Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
  • E. Tuchkovo
    Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47b62388190a033743376500375 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5d0da7081908e14fe4bc6623ea5 completed April 5, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69d1e6af89f88190abe63f8172182f58 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:37 p.m.