Triple

T19511350
Position Surface form Disambiguated ID Type / Status
Subject Taiz International Airport E488160 entity
Predicate hasRunway P105 FINISHED
Object Runway 01/19 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 01/19 | Statement: [Taiz International Airport, hasRunway, Runway 01/19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 01/19
Context triple: [Taiz International Airport, hasRunway, Runway 01/19]
  • A. Runway 01/19 chosen
    Runway 01/19 is a primary paved runway at Niagara District Airport used for aircraft takeoffs and landings aligned roughly north–south.
  • B. Runway 02/20
    Runway 02/20 is the primary paved runway at Iki Airport in Nagasaki Prefecture, Japan, used for regional domestic flights.
  • C. Runway 02/20
    Runway 02/20 is a principal landing and takeoff strip at Carriel Sur International Airport in Chile, aligned roughly along the 020/200-degree magnetic headings.
  • D. Runway 02/20
    Runway 02/20 is one of the primary paved runways at Richmond International Airport, used for handling a range of commercial and general aviation traffic.
  • E. Runway 02/20
    Runway 02/20 is one of the primary paved runways at Edmonton International Airport, aligned roughly north–south to accommodate various wind conditions and aircraft operations.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.