Triple

T17373705
Position Surface form Disambiguated ID Type / Status
Subject O'Hare runway system E422379 entity
Predicate hasRunway P105 FINISHED
Object Runway 4R/22L NE NERFINISHED

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 4R/22L | Statement: [O'Hare runway system, hasRunway, Runway 4R/22L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 4R/22L
Context triple: [O'Hare runway system, hasRunway, Runway 4R/22L]
  • A. Runway 4R/22L chosen
    Runway 4R/22L is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
  • B. Runway 4R/22L
    Runway 4R/22L is one of the primary paved runways used for general aviation operations at Chandler Municipal Airport in Arizona.
  • C. Runway 4R/22L
    Runway 4R/22L is one of the primary paved runways at Baton Rouge Metropolitan Airport, used for handling a range of commercial and general aviation aircraft operations.
  • D. Runway 4R/22L
    Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
  • E. Runway 4L/22R
    Runway 4L/22R is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures under various wind and traffic conditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6a9ec881908bfe49413826d37e completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.