Triple

T3731392
Position Surface form Disambiguated ID Type / Status
Subject Runway 4L/22R E79070 entity
Predicate isParallelTo P1868 FINISHED
Object Runway 4R/22L E48658 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 4R/22L | Statement: [Runway 4L/22R, isParallelTo, Runway 4R/22L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 4R/22L
Context triple: [Runway 4L/22R, isParallelTo, Runway 4R/22L]
  • A. Runway 4R/22L chosen
    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.
  • B. Runway 4L/22R
    Runway 4L/22R is one of the primary runways at Chicago Midway International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
  • C. Runway 04L/22R
    Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
  • D. Runway 04L/22R
    Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
  • E. Runway 4/22
    Runway 4/22 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb21002c81908438170ed6f6c271 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee05440cc8190b0ab8d0c0811899b completed March 21, 2026, 6:15 p.m.
Created at: March 8, 2026, 3:34 p.m.