Triple

T12034954
Position Surface form Disambiguated ID Type / Status
Subject Runway 09L/27R E286512 entity
Predicate hasRunwayDesignationConvention P55035 FINISHED
Object magnetic heading rounded to nearest 10 degrees LITERAL 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: magnetic heading rounded to nearest 10 degrees | Statement: [Runway 09L/27R, hasRunwayDesignationConvention, magnetic heading rounded to nearest 10 degrees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRunwayDesignationConvention
Context triple: [Runway 09L/27R, hasRunwayDesignationConvention, magnetic heading rounded to nearest 10 degrees]
  • A. hasRunwayDesignationSide
    Indicates that a runway designation is associated with a specific side or direction of the runway (e.g., left, right, or center).
  • B. usesRunwayNumberingConvention chosen
    Indicates that an airport or runway follows a specific standardized system for assigning runway identification numbers.
  • C. hasRunwayNumber
    Indicates that an airport or airfield runway is assigned a specific identifying number.
  • D. hasRunwayMarkings
    Indicates that a runway possesses specific painted markings or symbols on its surface.
  • E. hasRunwayType
    Indicates that an airport or airfield has a runway of a specified type or surface classification.
  • F. None of above.

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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.