Triple

T8748714
Position Surface form Disambiguated ID Type / Status
Subject Brewton Municipal Airport E207898 entity
Predicate runway P1654 FINISHED
Object Runway 6/24
Runway 6/24 is a primary paved runway at Brewton Municipal Airport in Alabama, used for general aviation takeoffs and landings.
 E785708 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: [Brewton Municipal Airport, runway, Runway 6/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 6/24
Context triple: [Brewton Municipal Airport, runway, 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 Hudson Valley Regional Airport used for general aviation and regional air traffic operations.
  • D. Runway 6/24
    Runway 6/24 is a primary paved runway at Long Island MacArthur Airport in Ronkonkoma, New York, used for commercial and general aviation operations.
  • E. Runway 6/24
    Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and 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 6/24
Triple: [Brewton Municipal Airport, runway, Runway 6/24]
Generated description
Runway 6/24 is a primary paved runway at Brewton Municipal Airport in Alabama, used for general aviation takeoffs and landings.
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 Brewton Municipal Airport in Alabama, used for general aviation takeoffs and landings.
  • A. Runway 6/24
    Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and general aviation takeoffs and landings.
  • B. 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.
  • C. Runway 6/24
    Runway 6/24 is a primary paved runway at Long Island MacArthur Airport in Ronkonkoma, New York, used for commercial and general aviation operations.
  • D. 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.
  • E. Runway 6/24
    Runway 6/24 is a primary paved runway at Northeast Philadelphia Airport used for general aviation and regional air traffic 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065b11f3c81909c787d365b242d57 completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 6:39 p.m.