Triple

T3014516
Position Surface form Disambiguated ID Type / Status
Subject Dallas Executive Airport E82303 entity
Predicate hasRunway P105 FINISHED
Object Runway 13/31
Runway 13/31 is a primary paved runway at Dallas Executive Airport used for general aviation takeoffs and landings.
 E434754 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 13/31 | Statement: [Dallas Executive Airport, hasRunway, Runway 13/31]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 13/31
Context triple: [Dallas Executive Airport, hasRunway, Runway 13/31]
  • A. Runway 13/31
    Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at Yao Airport in Japan, used for takeoffs and landings by the airport’s aircraft.
  • C. Runway 13/31
    Runway 13/31 is a primary paved runway at LaGrange–Callaway Airport in Georgia, used for general aviation takeoffs and landings.
  • D. Runway 13/31
    Runway 13/31 is a primary military airfield runway at Cannon Air Force Base in New Mexico, used for takeoffs and landings by U.S. Air Force aircraft.
  • E. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Vancouver International Airport, used for handling a mix of domestic and international air traffic under varying wind and weather conditions.
  • 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 13/31
Triple: [Dallas Executive Airport, hasRunway, Runway 13/31]
Generated description
Runway 13/31 is a primary paved runway at Dallas Executive Airport used for general aviation takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 13/31
Target entity description: Runway 13/31 is a primary paved runway at Dallas Executive Airport used for general aviation takeoffs and landings.
  • A. Runway 13/31
    Runway 13/31 is a primary paved runway at Aberdeen Regional Airport in South Dakota, used for general aviation and commercial flight operations.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at LaGrange–Callaway Airport in Georgia, used for general aviation takeoffs and landings.
  • C. Runway 13/31
    Runway 13/31 is a primary paved runway at Yao Airport in Japan, used for takeoffs and landings by the airport’s aircraft.
  • D. Runway 13/31
    Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
  • E. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Vancouver International Airport, used for handling a mix of domestic and international air traffic under varying wind and weather conditions.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4b6ef4c81908a6861cba2a73652 completed March 14, 2026, 10:44 p.m.
NEDg Description generation batch_69b5e55785bc8190917ff2cd36ea08a9 completed March 14, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5d8574c81909da3a91d9f927879 completed March 14, 2026, 10:48 p.m.
Created at: March 8, 2026, 3 p.m.