Triple

T9876530
Position Surface form Disambiguated ID Type / Status
Subject Brno–Tuřany Airport E240085 entity
Predicate IATAcode P418 FINISHED
Object BRQ
BRQ is the IATA airport code for Brno–Tuřany Airport, the main international airport serving the city of Brno in the Czech Republic.
E826510 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: BRQ | Statement: [Brno–Tuřany Airport, IATAcode, BRQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRQ
Context triple: [Brno–Tuřany Airport, IATAcode, BRQ]
  • A. BRD
    BRD is the IATA airport code for Brainerd Lakes Regional Airport, a public airport serving the Brainerd area in Minnesota, United States.
  • B. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • C. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • D. BRW
    BRW is the IATA airport code for Wiley Post–Will Rogers Memorial Airport in Utqiaġvik, Alaska, a key air transport hub for the Arctic region.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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: BRQ
Triple: [Brno–Tuřany Airport, IATAcode, BRQ]
Generated description
BRQ is the IATA airport code for Brno–Tuřany Airport, the main international airport serving the city of Brno in the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BRQ
Target entity description: BRQ is the IATA airport code for Brno–Tuřany Airport, the main international airport serving the city of Brno in the Czech Republic.
  • A. BRD
    BRD is the IATA airport code for Brainerd Lakes Regional Airport, a public airport serving the Brainerd area in Minnesota, United States.
  • B. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • C. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • D. BRW
    BRW is the IATA airport code for Wiley Post–Will Rogers Memorial Airport in Utqiaġvik, Alaska, a key air transport hub for the Arctic region.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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.