Triple

T630435
Position Surface form Disambiguated ID Type / Status
Subject Midway International Airport E15913 entity
Predicate hasRunway P105 FINISHED
Object Runway 13R/31L E80401 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 13R/31L | Statement: [Midway International Airport, hasRunway, Runway 13R/31L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 13R/31L
Context triple: [Midway International Airport, hasRunway, Runway 13R/31L]
  • A. Runway 13L/31R chosen
    Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
  • B. Runway 13C/31C
    Runway 13C/31C is one of the primary central runways used for aircraft takeoffs and landings at Chicago Midway International Airport.
  • C. Runway 15R/33L
    Runway 15R/33L is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures.
  • D. Runway 15L/33R
    Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
  • E. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5627788190a5381b1a50b4508d completed March 2, 2026, 11:58 a.m.
Created at: March 1, 2026, 7:35 p.m.