Triple

T6956995
Position Surface form Disambiguated ID Type / Status
Subject Garner Field Airport E161268 entity
Predicate runway P1654 FINISHED
Object Runway 15/33
Runway 15/33 is a primary paved runway at Garner Field Airport in Uvalde, Texas, used for general aviation takeoffs and landings.
 E691118 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 15/33 | Statement: [Garner Field Airport, runway, Runway 15/33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 15/33
Context triple: [Garner Field Airport, runway, Runway 15/33]
  • A. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • B. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Hamburg Airport, used for handling both domestic and international air traffic.
  • C. Runway 15/33
    Runway 15/33 is a primary paved runway used for aircraft operations at Maxwell Air Force Base in Alabama.
  • D. Runway 15/33
    Runway 15/33 is one of the primary paved runways used for aircraft takeoffs and landings at Kuala Lumpur International Airport in Malaysia.
  • E. Runway 15/33
    Runway 15/33 is one of the main paved runways at Helsinki Airport, 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 15/33
Triple: [Garner Field Airport, runway, Runway 15/33]
Generated description
Runway 15/33 is a primary paved runway at Garner Field Airport in Uvalde, Texas, used for general aviation takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 15/33
Target entity description: Runway 15/33 is a primary paved runway at Garner Field Airport in Uvalde, Texas, used for general aviation takeoffs and landings.
  • A. Runway 15/33
    Runway 15/33 is a primary paved runway used for aircraft operations at Maxwell Air Force Base in Alabama.
  • B. Runway 15/33
    Runway 15/33 is a primary paved runway used for aircraft takeoffs and landings at Martin State Airport in Maryland.
  • C. Runway 15/33
    Runway 15/33 is one of the primary paved runways used for aircraft takeoffs and landings at Hollywood Burbank Airport in Burbank, California.
  • D. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • E. Runway 15/33
    Runway 15/33 is a primary paved runway at Charleston International Airport used for commercial and military aircraft operations.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad0e52081908b524dc6a66bab01 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c968c9a1a48190b6ea5bb08ff745af completed March 29, 2026, 6 p.m.
NEDg Description generation batch_69c969a21a38819080fdec02bba37248 completed March 29, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69c96ae5f18c8190ab64ad0f10a0036f completed March 29, 2026, 6:09 p.m.
Created at: March 27, 2026, 2:29 p.m.