Triple

T17949250
Position Surface form Disambiguated ID Type / Status
Subject Mesquite Metro Airport E448786 entity
Predicate runway P1654 FINISHED
Object Runway 17/35
Runway 17/35 is the primary paved landing and takeoff strip at Mesquite Metro Airport in Mesquite, Texas, serving general aviation traffic.
 E1310508 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 17/35 | Statement: [Mesquite Metro Airport, runway, Runway 17/35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 17/35
Context triple: [Mesquite Metro Airport, runway, Runway 17/35]
  • A. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • B. Runway 17/35
    Runway 17/35 is a primary paved runway at Essendon Airport in Melbourne, Australia, used for a mix of general aviation, corporate, and regional aircraft operations.
  • C. Runway 17/35
    Runway 17/35 is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for both commercial and general aviation operations.
  • D. Runway 17/35
    Runway 17/35 is a primary paved runway at Wilmington International Airport in North Carolina, used for both commercial and general aviation operations.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway at Pensacola Naval Air Station used for military aircraft 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 17/35
Triple: [Mesquite Metro Airport, runway, Runway 17/35]
Generated description
Runway 17/35 is the primary paved landing and takeoff strip at Mesquite Metro Airport in Mesquite, Texas, serving general aviation traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 17/35
Target entity description: Runway 17/35 is the primary paved landing and takeoff strip at Mesquite Metro Airport in Mesquite, Texas, serving general aviation traffic.
  • A. Runway 17/35
    Runway 17/35 is a primary paved runway at Fort Worth Meacham International Airport used for general aviation and regional air traffic operations.
  • B. Runway 17/35
    Runway 17/35 is a primary paved runway at Roswell Air Center in New Mexico, used for commercial, military, and general aviation operations.
  • C. Runway 17/35
    Runway 17/35 is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for both commercial and general aviation operations.
  • D. Runway 17/35
    Runway 17/35 is a primary paved runway at Pueblo Memorial Airport in Colorado, used for both general aviation and military training operations.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway at Sioux Gateway Airport in Sioux City, Iowa, used for both commercial and general aviation 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afaac780819097434b20b1f155d2 completed April 19, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0397ebabcc81908e6cfe983afcb943 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0399364d988190a457415c9c64a68d completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399e221308190988e728b9efb0141 completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:21 a.m.