Triple

T9336538
Position Surface form Disambiguated ID Type / Status
Subject Bydgoszcz Ignacy Jan Paderewski Airport E224656 entity
Predicate IATAcode P418 FINISHED
Object BZG
BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
 E793800 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: BZG | Statement: [Bydgoszcz Ignacy Jan Paderewski Airport, IATAcode, BZG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BZG
Context triple: [Bydgoszcz Ignacy Jan Paderewski Airport, IATAcode, BZG]
  • A. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • B. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • C. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • D. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • E. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • 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: BZG
Triple: [Bydgoszcz Ignacy Jan Paderewski Airport, IATAcode, BZG]
Generated description
BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BZG
Target entity description: BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • A. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • B. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • C. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • D. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • E. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37f161e481908e23c1ec7e5fcf97 completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3d8316081908cb9ea36eb069c2d completed April 4, 2026, 10:11 a.m.
NEDg Description generation batch_69d0e57272cc819085a1fd3e356d7c46 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e72c3d088190953a5929f8b861d8 completed April 4, 2026, 10:25 a.m.
Created at: March 30, 2026, 7:40 p.m.