Triple

T16822273
Position Surface form Disambiguated ID Type / Status
Subject Addison Airport E408921 entity
Predicate hasRunway P105 FINISHED
Object Runway 15/33
Runway 15/33 is the primary paved runway at Addison Airport in Texas, serving general aviation and business aircraft operations.
 E1237367 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: [Addison Airport, hasRunway, Runway 15/33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 15/33
Context triple: [Addison Airport, hasRunway, 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 a primary paved runway used for aircraft operations at Maxwell Air Force Base in Alabama.
  • C. 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.
  • D. 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.
  • E. Runway 15/33
    Runway 15/33 is a primary paved runway at Sultan Abdul Aziz Shah Airport in Subang, Malaysia, used for both commercial and general aviation 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: [Addison Airport, hasRunway, Runway 15/33]
Generated description
Runway 15/33 is the primary paved runway at Addison Airport in Texas, serving general aviation and business aircraft operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 15/33
Target entity description: Runway 15/33 is the primary paved runway at Addison Airport in Texas, serving general aviation and business aircraft operations.
  • A. 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.
  • B. Runway 15/33
    Runway 15/33 is a primary paved runway used for aircraft operations at Maxwell Air Force Base in Alabama.
  • C. Runway 15/33
    Runway 15/33 is a primary paved runway at Fort Collins-Loveland Municipal Airport used for general aviation and regional air traffic operations.
  • D. Runway 15/33
    Runway 15/33 is a primary paved runway at Stafford Regional Airport used for general aviation takeoffs and landings.
  • E. Runway 15/33
    Runway 15/33 is a primary paved runway used for aircraft takeoffs and landings at Martin State Airport in Maryland.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e77ab88190be1ec8179251864e completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb11f8708190ae762a28710e4246 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc4cdf8481909ad45b9c66234c9b completed May 10, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00bcfcb434819092b85ce1debb9be8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:23 a.m.