Triple

T707637
Position Surface form Disambiguated ID Type / Status
Subject Ontario International Airport E14135 entity
Predicate runway P1654 FINISHED
Object Runway 8R/26L E90234 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 8R/26L | Statement: [Ontario International Airport, runway, Runway 8R/26L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 8R/26L
Context triple: [Ontario International Airport, runway, Runway 8R/26L]
  • A. Runway 8L/26R chosen
    Runway 8L/26R is one of the primary parallel runways at Ontario International Airport in California, used for handling a mix of commercial, cargo, and general aviation traffic.
  • B. Runway 08R/26L
    Runway 08R/26L is one of the principal paved runways at London Gatwick Airport, used for handling commercial aircraft operations.
  • C. Runway 8/26
    Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
  • D. Runway 10L/28R
    Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
  • E. Runway 16R/34L
    Runway 16R/34L is a primary paved runway used for commercial and general aviation operations at Sacramento International Airport in California.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666cd4788190ab1ddffa616fdc58 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:36 p.m.