Triple

T3725928
Position Surface form Disambiguated ID Type / Status
Subject Esenboğa International Airport E81748 entity
Predicate hasRunway P105 FINISHED
Object Runway 03R/21L E479969 NE FINISHED

How this triple was built (2 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 03R/21L | Statement: [Esenboğa International Airport, hasRunway, Runway 03R/21L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 03R/21L
Context triple: [Esenboğa International Airport, hasRunway, Runway 03R/21L]
  • A. Runway 03L/21R
    Runway 03L/21R is one of the primary paved runways at Panama City’s Tocumen International Airport, used for handling commercial air traffic.
  • B. Runway 03L/21R chosen
    Runway 03L/21R is one of the primary paved runways used for aircraft takeoffs and landings at Esenboğa International Airport in Ankara, Turkey.
  • C. Runway 03/21
    Runway 03/21 is a principal paved runway at Lanzarote Airport in the Canary Islands, used for handling the airport’s commercial air traffic.
  • D. Runway 03/21
    Runway 03/21 is a principal paved runway at José Joaquín de Olmedo International Airport in Guayaquil, Ecuador, used for both domestic and international flight operations.
  • E. Runway 03/21
    Runway 03/21 is one of the principal paved runways at Paris–Le Bourget Airport, used for handling a mix of business, general aviation, and occasional special event traffic near Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf669d48190852aaeef70265404 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8195518081908f4938032218e118 completed March 21, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:34 p.m.