Triple

T4179126
Position Surface form Disambiguated ID Type / Status
Subject Antalya Airport E86549 entity
Predicate hasRunway P105 FINISHED
Object Runway 18R/36L
Runway 18R/36L is a primary paved runway used for commercial air traffic operations at Antalya Airport in Turkey.
 E526285 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 18R/36L | Statement: [Antalya Airport, hasRunway, Runway 18R/36L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 18R/36L
Context triple: [Antalya Airport, hasRunway, Runway 18R/36L]
  • A. Runway 18R/36L
    Runway 18R/36L is a primary north–south runway used for commercial air traffic at Cincinnati/Northern Kentucky International Airport.
  • B. Runway 18R/36L
    Runway 18R/36L is a primary paved runway used for aircraft takeoffs and landings at Gimhae International Airport in Busan, South Korea.
  • C. Runway 18R/36L
    Runway 18R/36L is a primary north–south runway at Memphis International Airport, used extensively for both commercial and cargo operations.
  • D. Runway 18R/36L
    Runway 18R/36L is a primary paved runway at Napa County Airport in California, used for general aviation and regional air traffic operations.
  • E. Runway 18L/36R
    Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
  • 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 18R/36L
Triple: [Antalya Airport, hasRunway, Runway 18R/36L]
Generated description
Runway 18R/36L is a primary paved runway used for commercial air traffic operations at Antalya Airport in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 18R/36L
Target entity description: Runway 18R/36L is a primary paved runway used for commercial air traffic operations at Antalya Airport in Turkey.
  • A. Runway 18R/36L
    Runway 18R/36L is a primary paved runway used for aircraft takeoffs and landings at Gimhae International Airport in Busan, South Korea.
  • B. Runway 18R/36L
    Runway 18R/36L is a primary north–south runway used for commercial air traffic at Cincinnati/Northern Kentucky International Airport.
  • C. Runway 18R/36L
    Runway 18R/36L is a primary north–south runway at Memphis International Airport, used extensively for both commercial and cargo operations.
  • D. Runway 18R/36L
    Runway 18R/36L is a primary paved runway at Napa County Airport in California, used for general aviation and regional air traffic operations.
  • E. Runway 18L/36R
    Runway 18L/36R is a primary paved runway used for aircraft takeoffs and landings at Shanghai Hongqiao International Airport.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af030114c88190b725908a32ace750 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb6fb95008190af52d015903bca5c completed March 22, 2026, 9:31 a.m.
NEDg Description generation batch_69bfb77a5c9c819091a42db2d4bc9575 completed March 22, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_69bfb7c53de081909b40adbdc5b23b24 completed March 22, 2026, 9:35 a.m.
Created at: March 9, 2026, 3:45 p.m.