Triple

T6706474
Position Surface form Disambiguated ID Type / Status
Subject Runway 17R/35L E153017 entity
Predicate hasParallelRunway P11810 FINISHED
Object Runway 17L/35R unclear NED1 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 17L/35R | Statement: [Runway 17R/35L, hasParallelRunway, Runway 17L/35R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 17L/35R
Context triple: [Runway 17R/35L, hasParallelRunway, Runway 17L/35R]
  • A. Runway 17L/35R
    Runway 17L/35R is one of the main paved runways at Lyon–Saint-Exupéry Airport in France, used for both domestic and international air traffic operations.
  • B. Runway 17L/35R
    Runway 17L/35R is one of the primary paved runways at Orlando International Airport, used for handling both commercial and general aviation traffic.
  • C. Runway 17L/35R
    Runway 17L/35R is a primary paved runway at North Texas Regional Airport used for general aviation and regional air traffic operations.
  • D. Runway 17L/35R
    Runway 17L/35R is one of the main paved runways at Congonhas–São Paulo Airport, used for intensive domestic air traffic operations in São Paulo, Brazil.
  • E. Runway 17R/35L
    Runway 17R/35L is one of the main paved runways at Congonhas–São Paulo Airport in Brazil, used for intensive domestic commercial air traffic in the city of São Paulo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1033bb881908c3360b715bf13cf completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c922a0d2688190982714e2e409465d completed March 29, 2026, 1:01 p.m.
Created at: March 27, 2026, 2:06 p.m.