Triple

T16000796
Position Surface form Disambiguated ID Type / Status
Subject Newcastle International Airport E388084 entity
Predicate hasRunway P105 FINISHED
Object Runway 07/25
Runway 07/25 is the primary paved runway at Newcastle International Airport, used for most commercial takeoffs and landings.
 E1196240 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 07/25 | Statement: [Newcastle International Airport, hasRunway, Runway 07/25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 07/25
Context triple: [Newcastle International Airport, hasRunway, Runway 07/25]
  • A. Runway 07/25
    Runway 07/25 is the primary paved runway used for aircraft takeoffs and landings at David the Builder Kutaisi International Airport in Georgia.
  • B. Runway 07/25
    Runway 07/25 is a principal paved runway at Paris–Le Bourget Airport used for handling a variety of general aviation and business jet traffic.
  • C. Runway 07/25
    Runway 07/25 is one of the primary paved runways at Denver International Airport, used for handling commercial air traffic aligned roughly east–west.
  • D. Runway 07/25
    Runway 07/25 is one of the primary paved runways at Lanseria International Airport near Johannesburg, South Africa, used for both commercial and general aviation operations.
  • E. Runway 07/25
    Runway 07/25 is the primary paved runway used for takeoffs and landings at Cluj International Airport in Romania.
  • 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 07/25
Triple: [Newcastle International Airport, hasRunway, Runway 07/25]
Generated description
Runway 07/25 is the primary paved runway at Newcastle International Airport, used for most commercial takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 07/25
Target entity description: Runway 07/25 is the primary paved runway at Newcastle International Airport, used for most commercial takeoffs and landings.
  • A. Runway 07/25
    Runway 07/25 is the primary paved runway used for takeoffs and landings at Cluj International Airport in Romania.
  • B. Runway 07/25
    Runway 07/25 is one of the primary paved runways at Denver International Airport, used for handling commercial air traffic aligned roughly east–west.
  • C. Runway 07/25
    Runway 07/25 is one of the primary paved runways used for aircraft takeoffs and landings at Richmond International Airport in Virginia.
  • D. Runway 07/25
    Runway 07/25 is a primary paved runway at Brussels South Charleroi Airport used for commercial flight operations and aligned approximately east–west.
  • E. Runway 07/25
    Runway 07/25 is a primary paved runway at Gainesville Regional Airport used for takeoffs and landings aligned roughly east–west.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
NEDg Description generation batch_69fff3806ab08190b2450b0f1f4bfc3c completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:55 a.m.