Triple

T16936277
Position Surface form Disambiguated ID Type / Status
Subject Antalya Airport E410833 entity
Predicate hasRunway P105 FINISHED
Object Runway 18L/36R
Runway 18L/36R is one of the primary paved runways at Antalya Airport in Turkey, used for handling commercial air traffic.
 E1242782 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 18L/36R | Statement: [Antalya Airport, hasRunway, Runway 18L/36R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 18L/36R
Context triple: [Antalya Airport, hasRunway, Runway 18L/36R]
  • A. Runway 18L/36R
    Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
  • B. Runway 18L/36R
    Runway 18L/36R is a primary paved runway used for aircraft takeoffs and landings at Shanghai Hongqiao International Airport.
  • C. Runway 18L/36R
    Runway 18L/36R is a primary north–south runway at Memphis International Airport used for both passenger and cargo aircraft operations.
  • D. Runway 18L/36R
    Runway 18L/36R is a primary paved runway at Boryspil International Airport near Kyiv, Ukraine, used for handling commercial air traffic.
  • E. Runway 18R/36L
    Runway 18R/36L is a primary north–south runway used for commercial air traffic at Cincinnati/Northern Kentucky International Airport.
  • 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 18L/36R
Triple: [Antalya Airport, hasRunway, Runway 18L/36R]
Generated description
Runway 18L/36R is one of the primary paved runways at Antalya Airport in Turkey, used for handling commercial air traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 18L/36R
Target entity description: Runway 18L/36R is one of the primary paved runways at Antalya Airport in Turkey, used for handling commercial air traffic.
  • A. Runway 18L/36R
    Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
  • B. Runway 18L/36R
    Runway 18L/36R is a primary paved runway used for aircraft takeoffs and landings at Shanghai Hongqiao International Airport.
  • C. Runway 18L/36R
    Runway 18L/36R is a primary north–south runway at Memphis International Airport used for both passenger and cargo aircraft operations.
  • D. Runway 18L/36R
    Runway 18L/36R is a primary paved runway at Boryspil International Airport near Kyiv, Ukraine, used for handling commercial air traffic.
  • E. Runway 18R/36L
    Runway 18R/36L is a primary paved runway used for commercial air traffic operations at Antalya Airport in Turkey.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2a05f48190a0a8ac86985f4000 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45e64d881909da963825d2eea98 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d587299081908981bd8bc2ae8f3d completed May 10, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6085cc08190bc3c574ce61d19f4 completed May 10, 2026, 7:01 p.m.
Created at: April 10, 2026, 5:30 a.m.