Triple

T21344216
Position Surface form Disambiguated ID Type / Status
Subject Runway 18R/36L E526285 entity
Predicate partOf P40 FINISHED
Object runway system of Antalya Airport
The runway system of Antalya Airport is a complex of multiple parallel and intersecting runways designed to handle high volumes of domestic and international air traffic at one of Turkey’s busiest tourist gateways.
E1479317 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 system of Antalya Airport | Statement: [Runway 18R/36L, partOf, runway system of Antalya Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: runway system of Antalya Airport
Context triple: [Runway 18R/36L, partOf, runway system of Antalya Airport]
  • A. runway system of Kansai International Airport
    The runway system of Kansai International Airport is a complex set of offshore runways built on artificial islands in Osaka Bay to support high-capacity international and domestic air traffic.
  • B. runway system of Taiwan Taoyuan International Airport
    The runway system of Taiwan Taoyuan International Airport is the primary set of parallel runways serving Taiwan’s busiest international gateway and main long-haul aviation hub.
  • C. runway system of Osaka International Airport
    The runway system of Osaka International Airport is the integrated set of runways and associated infrastructure that supports the airport’s aircraft takeoffs, landings, and ground movements.
  • D. runway system of Chicago O'Hare International Airport
    The runway system of Chicago O'Hare International Airport is a complex, high-capacity network of intersecting and parallel runways designed to support one of the world’s busiest aviation hubs in all weather conditions.
  • E. runway system of Reno–Tahoe International Airport
    The runway system of Reno–Tahoe International Airport is the integrated set of runways and associated infrastructure that supports the airport’s commercial, cargo, and general aviation flight operations in Reno, Nevada.
  • 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 system of Antalya Airport
Triple: [Runway 18R/36L, partOf, runway system of Antalya Airport]
Generated description
The runway system of Antalya Airport is a complex of multiple parallel and intersecting runways designed to handle high volumes of domestic and international air traffic at one of Turkey’s busiest tourist gateways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: runway system of Antalya Airport
Target entity description: The runway system of Antalya Airport is a complex of multiple parallel and intersecting runways designed to handle high volumes of domestic and international air traffic at one of Turkey’s busiest tourist gateways.
  • A. runway system of Kansai International Airport
    The runway system of Kansai International Airport is a complex set of offshore runways built on artificial islands in Osaka Bay to support high-capacity international and domestic air traffic.
  • B. runway system of Taiwan Taoyuan International Airport
    The runway system of Taiwan Taoyuan International Airport is the primary set of parallel runways serving Taiwan’s busiest international gateway and main long-haul aviation hub.
  • C. runway system of Osaka International Airport
    The runway system of Osaka International Airport is the integrated set of runways and associated infrastructure that supports the airport’s aircraft takeoffs, landings, and ground movements.
  • D. runway system of Chicago O'Hare International Airport
    The runway system of Chicago O'Hare International Airport is a complex, high-capacity network of intersecting and parallel runways designed to support one of the world’s busiest aviation hubs in all weather conditions.
  • E. runway system of Reno–Tahoe International Airport
    The runway system of Reno–Tahoe International Airport is the integrated set of runways and associated infrastructure that supports the airport’s commercial, cargo, and general aviation flight operations in Reno, Nevada.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a85274f481909e699b390bed9350 completed April 22, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c8c9808190810982de97320df3 completed May 17, 2026, 11:26 a.m.
NEDg Description generation batch_6a09a6848c1c8190992ae7cdfeabdcf8 completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09aae23f2c81908f08d290277e22f9 completed May 17, 2026, 11:47 a.m.
Created at: April 16, 2026, 4:44 p.m.