Triple

T7639143
Position Surface form Disambiguated ID Type / Status
Subject Katowice Airport E172954 entity
Predicate hasRunway P105 FINISHED
Object Runway 09/27
Runway 09/27 is a primary paved runway at Katowice Airport in Poland, used for handling both domestic and international air traffic.
 E692608 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: Runway 09/27 | Statement: [Katowice Airport, hasRunway, Runway 09/27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 09/27
Context triple: [Katowice Airport, hasRunway, Runway 09/27]
  • A. Runway 09/27
    Runway 09/27 is the primary east–west runway at San Diego International Airport, known for its relatively short length and challenging approach over downtown.
  • B. Runway 09/27
    Runway 09/27 is a primary east–west runway at Cincinnati/Northern Kentucky International Airport used for commercial air traffic operations.
  • C. Runway 09/27
    Runway 09/27 is a primary paved runway at Yao Airport in Japan, used for handling takeoffs and landings aligned roughly east–west.
  • D. Runway 09/27
    Runway 09/27 is the primary paved runway used for aircraft takeoffs and landings at Masvingo Airport in Zimbabwe.
  • E. Runway 09/27
    Runway 09/27 is the primary paved runway at Rzeszów–Jasionka Airport in southeastern Poland, used for both domestic and international air traffic operations.
  • 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: Runway 09/27
Triple: [Katowice Airport, hasRunway, Runway 09/27]
Generated description
Runway 09/27 is a primary paved runway at Katowice Airport in Poland, used for handling both domestic and international air traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 09/27
Target entity description: Runway 09/27 is a primary paved runway at Katowice Airport in Poland, used for handling both domestic and international air traffic.
  • A. Runway 09/27
    Runway 09/27 is the primary paved runway at Rzeszów–Jasionka Airport in southeastern Poland, used for both domestic and international air traffic operations.
  • B. Runway 09/27
    Runway 09/27 is a primary east–west runway at Cincinnati/Northern Kentucky International Airport used for commercial air traffic operations.
  • C. Runway 09/27
    Runway 09/27 is the primary paved runway used for aircraft takeoffs and landings at Masvingo Airport in Zimbabwe.
  • D. Runway 09/27
    Runway 09/27 is a primary paved runway at Yao Airport in Japan, used for handling takeoffs and landings aligned roughly east–west.
  • E. Runway 09/27
    Runway 09/27 is the primary east–west runway at Trondheim Airport, Værnes, used for most commercial flight operations at the airport.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca65545c3c819080a4bf7945871e5d completed March 30, 2026, 11:58 a.m.
NEDg Description generation batch_69ca65d0dc908190917389d02ce71c2a completed March 30, 2026, noon
NED2 Entity disambiguation (via description) batch_69ca663ff0b88190af78d7e32ca1c003 completed March 30, 2026, 12:02 p.m.
Created at: March 27, 2026, 3:57 p.m.