Triple

T20638123
Position Surface form Disambiguated ID Type / Status
Subject Forbes Field E507139 entity
Predicate hasRunway P105 FINISHED
Object Runway 13/31
Runway 13/31 is a primary paved runway at Forbes Field Airport in Kansas, used for both military and civilian aircraft operations.
 E1444325 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: [Forbes Field, hasRunway, Runway 13/31]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 13/31
Context triple: [Forbes Field, hasRunway, Runway 13/31]
  • A. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Nashville International Airport, used for handling a mix of commercial, cargo, and general aviation traffic.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at Islay Airport in Scotland, used for regional passenger and general aviation flights.
  • C. Runway 13/31
    Runway 13/31 is a principal paved runway used for aircraft takeoffs and landings at Pinto Martins – Fortaleza International Airport in Fortaleza, Brazil.
  • D. Runway 13/31
    Runway 13/31 is a primary paved runway at Rochester International Airport used for handling a range of commercial and general aviation aircraft operations.
  • E. Runway 13/31
    Runway 13/31 is a primary paved runway at Lancaster Regional Airport used for general aviation takeoffs and landings.
  • 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: [Forbes Field, hasRunway, Runway 13/31]
Generated description
Runway 13/31 is a primary paved runway at Forbes Field Airport in Kansas, used for both military and civilian aircraft operations.
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 Forbes Field Airport in Kansas, used for both military and civilian aircraft operations.
  • A. Runway 13/31
    Runway 13/31 is a primary paved runway at Philip Billard Municipal Airport in Topeka, Kansas, used for general aviation takeoffs and landings.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at Colorado Springs Airport used for commercial, military, and general aviation operations.
  • C. 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.
  • D. Runway 13/31
    Runway 13/31 is a primary paved runway at Dallas Executive Airport used for general aviation takeoffs and landings.
  • E. Runway 13/31
    Runway 13/31 is a primary paved runway at Des Moines International Airport used for commercial and general aviation takeoffs and landings.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1163008190aa9df36750a952d2 completed April 20, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd4978d88190a15cc708101c4750 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d174278481909db394da2a7ff969 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d293523c8190aaa01c6c73c9afd5 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:42 a.m.