Triple

T15446250
Position Surface form Disambiguated ID Type / Status
Subject Decatur Airport E370029 entity
Predicate hasRunway P105 FINISHED
Object Runway 6/24
Runway 6/24 is a primary paved runway at Decatur Airport in Illinois, used for general aviation and commercial flight operations.
E1158605 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 6/24 | Statement: [Decatur Airport, hasRunway, Runway 6/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 6/24
Context triple: [Decatur Airport, hasRunway, Runway 6/24]
  • A. Runway 6/24
    Runway 6/24 is a primary paved runway at Capital Region International Airport in Lansing, Michigan, used for commercial and general aviation operations.
  • B. Runway 6/24
    Runway 6/24 is a primary paved runway at Northeast Philadelphia Airport used for general aviation and regional air traffic operations.
  • C. Runway 6/24
    Runway 6/24 is a primary paved runway at Springfield–Beckley Municipal Airport in Ohio, used for general aviation and military training operations.
  • D. Runway 6/24
    Runway 6/24 is a primary paved runway at Niagara Falls International Airport used for commercial, cargo, and general aviation operations.
  • E. Runway 6/24
    Runway 6/24 is a primary paved runway at Hudson Valley Regional Airport used for general aviation and regional 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 6/24
Triple: [Decatur Airport, hasRunway, Runway 6/24]
Generated description
Runway 6/24 is a primary paved runway at Decatur Airport in Illinois, used for general aviation and commercial flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 6/24
Target entity description: Runway 6/24 is a primary paved runway at Decatur Airport in Illinois, used for general aviation and commercial flight operations.
  • A. Runway 6/24
    Runway 6/24 is a primary paved runway at Northeast Philadelphia Airport used for general aviation and regional air traffic operations.
  • B. Runway 6/24
    Runway 6/24 is a primary paved runway at Fort Collins-Loveland Municipal Airport in Colorado, used for general aviation and regional air traffic operations.
  • C. Runway 6/24
    Runway 6/24 is a primary paved runway at Brewton Municipal Airport in Alabama, used for general aviation takeoffs and landings.
  • D. Runway 6/24
    Runway 6/24 is a primary paved runway at Hudson Valley Regional Airport used for general aviation and regional air traffic operations.
  • E. Runway 6/24
    Runway 6/24 is a primary paved runway at Capital Region International Airport in Lansing, Michigan, used for 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef767b4819099f2c0919a158321 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2dc38b1c819097059a7bdb066874 completed May 9, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ec231dc8190b82333e3e54ced20 completed May 9, 2026, 12:55 p.m.
Created at: April 10, 2026, 3:21 a.m.