Triple

T7320429
Position Surface form Disambiguated ID Type / Status
Subject Tri-Cities Airport E168528 entity
Predicate runway P1654 FINISHED
Object Runway 12/30
Runway 12/30 is a primary paved runway at Tri-Cities Airport in Tennessee, used for handling a range of commercial and general aviation aircraft operations.
E692061 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 12/30 | Statement: [Tri-Cities Airport, runway, Runway 12/30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 12/30
Context triple: [Tri-Cities Airport, runway, Runway 12/30]
  • A. Runway 12/30
    Runway 12/30 is one of the primary paved runways used for aircraft takeoffs and landings at Washington Dulles International Airport in Virginia.
  • B. Runway 12/30
    Runway 12/30 is a principal runway at Cairns Airport in Queensland, Australia, used for both domestic and international aircraft operations.
  • C. Runway 12/30
    Runway 12/30 is a principal paved runway at Ambala Air Force Station in Haryana, India, used for military flight operations.
  • D. Runway 12/30
    Runway 12/30 is a primary paved runway at Sault Ste. Marie Airport in Ontario, Canada, used for regional and commercial air traffic operations.
  • E. Runway 12/30
    Runway 12/30 is a principal paved runway at Málaga Airport in southern Spain, used for handling a large volume of 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 12/30
Triple: [Tri-Cities Airport, runway, Runway 12/30]
Generated description
Runway 12/30 is a primary paved runway at Tri-Cities Airport in Tennessee, used for handling a range of commercial and general aviation aircraft operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 12/30
Target entity description: Runway 12/30 is a primary paved runway at Tri-Cities Airport in Tennessee, used for handling a range of commercial and general aviation aircraft operations.
  • A. Runway 12/30
    Runway 12/30 is a primary paved runway at Edmonton International Airport used for handling a wide range of commercial and general aviation traffic.
  • B. Runway 12/30
    Runway 12/30 is a primary paved runway at Albuquerque International Sunport used for commercial and general aviation takeoffs and landings.
  • C. Runway 12/30
    Runway 12/30 is a primary paved runway at San Carlos Airport in California, used mainly for general aviation operations.
  • D. Runway 12/30
    Runway 12/30 is one of the primary paved runways used for aircraft takeoffs and landings at Washington Dulles International Airport in Virginia.
  • E. Runway 12/30
    Runway 12/30 is a principal paved runway at Canberra Airport used for handling domestic and international air 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9d13a8b108190a0b13592f3a6362e completed March 30, 2026, 1:26 a.m.
NEDg Description generation batch_69c9d44d0d2881909f4ed7af19ae5f02 completed March 30, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69c9d4cab81081908c374a250e9f3fa2 completed March 30, 2026, 1:41 a.m.
Created at: March 27, 2026, 3:02 p.m.