Triple

T6609858
Position Surface form Disambiguated ID Type / Status
Subject Brussels South Charleroi Airport E149208 entity
Predicate hasRunway P105 FINISHED
Object Runway 07/25 E149211 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 07/25 | Statement: [Brussels South Charleroi Airport, hasRunway, Runway 07/25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 07/25
Context triple: [Brussels South Charleroi Airport, hasRunway, Runway 07/25]
  • A. Runway 07/25 chosen
    Runway 07/25 is a primary paved runway at Brussels South Charleroi Airport used for commercial flight operations and aligned approximately east–west.
  • B. Runway 07/25
    Runway 07/25 is the primary paved runway used for aircraft takeoffs and landings at David the Builder Kutaisi International Airport in Georgia.
  • C. Runway 07/25
    Runway 07/25 is a principal paved runway at Paris–Le Bourget Airport used for handling a variety of general aviation and business jet traffic.
  • D. Runway 07/25
    Runway 07/25 is one of the primary paved runways at Denver International Airport, used for handling commercial air traffic aligned roughly east–west.
  • E. Runway 07/25
    Runway 07/25 is one of the primary paved runways at Lanseria International Airport near Johannesburg, South Africa, used for both commercial and general aviation operations.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3301dc819082d427675c36aaa6 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e5664fb8819098ca2138e7c1e044 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 1:57 p.m.