Triple

T21165353
Position Surface form Disambiguated ID Type / Status
Subject Runway 04L/22R E521545 entity
Predicate parallelTo P1868 FINISHED
Object Runway 04R/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 04R/22L | Statement: [Runway 04L/22R, parallelTo, Runway 04R/22L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 04R/22L
Context triple: [Runway 04L/22R, parallelTo, Runway 04R/22L]
  • A. Runway 04R/22L chosen
    Runway 04R/22L is one of the main parallel runways at Nice Côte d’Azur Airport, serving commercial air traffic on the French Riviera.
  • B. Runway 04R/22L
    Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Sharm El Sheikh International Airport in Egypt.
  • C. Runway 04R/22L
    Runway 04R/22L is one of the primary paved runways at Mather Airport, used for aircraft takeoffs and landings.
  • D. Runway 04R/22L
    Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Venice Marco Polo Airport in Italy.
  • E. Runway 04R/22L
    Runway 04R/22L is one of the primary paved runways used for aircraft takeoffs and landings at Clinton National Airport in Little Rock, Arkansas.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270e15bc81908d609198e573040e completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.