Triple

T13280041
Position Surface form Disambiguated ID Type / Status
Subject Islip Airport E316295 entity
Predicate hasRunway P105 FINISHED
Object Runway 6/24
Runway 6/24 is a primary paved runway at Long Island MacArthur (Islip) Airport used for commercial and general aviation takeoffs and landings.
E429824 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: [Islip Airport, hasRunway, Runway 6/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 6/24
Context triple: [Islip 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: [Islip Airport, hasRunway, Runway 6/24]
Generated description
Runway 6/24 is a primary paved runway at Long Island MacArthur (Islip) Airport used for commercial and 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 Long Island MacArthur (Islip) Airport used for commercial and general aviation takeoffs and landings.
  • A. Runway 6/24 chosen
    Runway 6/24 is a primary paved runway at Long Island MacArthur Airport in Ronkonkoma, New York, used for commercial and general aviation operations.
  • B. Runway 6/24
    Runway 6/24 is a primary paved runway at Niagara Falls International Airport used for commercial, cargo, and general aviation operations.
  • C. 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.
  • 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 Northeast Philadelphia Airport used for general aviation and regional air traffic operations.
  • F. None of above.

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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83125d481908fe02cf85651a7bb completed May 3, 2026, 7:55 p.m.
NEDg Description generation batch_69f7a8f6833881908bcca35d7d01596a completed May 3, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 9:27 p.m.