Triple

T30866377
Position Surface form Disambiguated ID Type / Status
Subject Runway 12/30 E786211 entity
Predicate magneticHeadingRunway12 P70220 FINISHED
Object approximately 120 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: approximately 120 degrees | Statement: [Runway 12/30, magneticHeadingRunway12, approximately 120 degrees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: magneticHeadingRunway12
Context triple: [Runway 12/30, magneticHeadingRunway12, approximately 120 degrees]
  • A. runwayEndHeading chosen
    Indicates the directional heading or bearing associated with the end of a runway, typically expressed in degrees relative to north.
  • B. hasReciprocalMagneticHeadingApprox
    Indicates that two entities have magnetic headings that are approximately reciprocal (differing by about 180 degrees from each other).
  • C. hasMagneticHeading
    Indicates the directional orientation of an entity relative to magnetic north, typically expressed as a magnetic compass bearing.
  • D. hasMagneticHeadingRangeInDegrees
    Indicates the range of possible magnetic heading values, measured in degrees, associated with an entity’s orientation or navigation.
  • E. hasRightRunwayIn25Direction
    Indicates that an entity (typically an airport or airfield) possesses a right-hand runway aligned or oriented in the 25 direction.
  • 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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691acf6d481909e6763574daee4cb completed May 3, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:47 p.m.