Triple

T19713749
Position Surface form Disambiguated ID Type / Status
Subject Pskov Airport E473420 entity
Predicate hasRunway P105 FINISHED
Object Runway 06/24
Runway 06/24 is a primary paved runway at Pskov Airport in Russia, aligned roughly northeast–southwest to accommodate various aircraft operations.
 E1405192 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 06/24 | Statement: [Pskov Airport, hasRunway, Runway 06/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 06/24
Context triple: [Pskov Airport, hasRunway, Runway 06/24]
  • A. Runway 06/24
    Runway 06/24 is one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
  • B. Runway 06/24
    Runway 06/24 is a principal runway at Istanbul’s Sabiha Gökçen International Airport, used for handling both domestic and international air traffic.
  • C. Runway 06/24
    Runway 06/24 is a primary paved runway at Lanseria International Airport in South Africa, aligned roughly northeast–southwest to accommodate prevailing winds and commercial traffic.
  • D. Runway 06/24
    Runway 06/24 is the primary paved runway at Lappeenranta Airport in Finland, used for both domestic and international air traffic operations.
  • E. Runway 06/24
    Runway 06/24 is a primary paved runway at Volgograd International Airport in Russia, used for handling the airport’s commercial air traffic.
  • 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 06/24
Triple: [Pskov Airport, hasRunway, Runway 06/24]
Generated description
Runway 06/24 is a primary paved runway at Pskov Airport in Russia, aligned roughly northeast–southwest to accommodate various aircraft operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 06/24
Target entity description: Runway 06/24 is a primary paved runway at Pskov Airport in Russia, aligned roughly northeast–southwest to accommodate various aircraft operations.
  • A. Runway 06/24
    Runway 06/24 is a primary paved runway at Volgograd International Airport in Russia, used for handling the airport’s commercial air traffic.
  • B. Runway 06/24
    Runway 06/24 is the primary paved runway at Lappeenranta Airport in Finland, used for both domestic and international air traffic operations.
  • C. Runway 06/24
    Runway 06/24 is a primary paved runway at Kbely Air Base near Prague, used for military and aviation operations aligned roughly northeast–southwest.
  • D. Runway 06/24
    Runway 06/24 is a primary paved runway at Bradley International Airport in Connecticut, used for handling a range of commercial and general aviation aircraft operations.
  • E. Runway 06/24
    Runway 06/24 is a primary paved runway at Lanseria International Airport in South Africa, aligned roughly northeast–southwest to accommodate prevailing winds and commercial traffic.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440b47508190a8a33325b00841dc completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804e8351081908004b55463852dff completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805ff590c8190afe9f275675cbb27 completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806ab6cdc8190bd11822e0f5426cc completed May 16, 2026, 5:54 a.m.
Created at: April 10, 2026, 1:46 p.m.