Triple

T6403245
Position Surface form Disambiguated ID Type / Status
Subject Shannon Airport E144113 entity
Predicate hasRunway P105 FINISHED
Object Runway 06/24
Runway 06/24 is a principal paved runway at Shannon Airport in Ireland, used for handling commercial and other aircraft operations.
 E671632 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: [Shannon Airport, hasRunway, Runway 06/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 06/24
Context triple: [Shannon 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 paved runway at Havana’s José Martí International Airport (Rancho-Boyeros), used for handling commercial air traffic aligned roughly northeast–southwest.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: [Shannon Airport, hasRunway, Runway 06/24]
Generated description
Runway 06/24 is a principal paved runway at Shannon Airport in Ireland, used for handling commercial and other 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 principal paved runway at Shannon Airport in Ireland, used for handling commercial and other aircraft operations.
  • A. Runway 06/24
    Runway 06/24 is a principal paved runway at Edinburgh Airport used for most commercial flight operations.
  • B. 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.
  • C. Runway 06/24
    Runway 06/24 is the primary paved runway used for aircraft takeoffs and landings at Naples International Airport in Italy.
  • 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 one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068af3f448190a94ecd5109e9e8e4 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ece7e2881909da0e81ccf8c4eb4 completed March 28, 2026, 9:57 p.m.
NEDg Description generation batch_69c84faac480819096d19dbcd50aa178 completed March 28, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69c850327c8c81908c3e1ccf58b5bd74 completed March 28, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:35 p.m.