Triple

T33051987
Position Surface form Disambiguated ID Type / Status
Subject runway system of Osaka International Airport E845750 entity
Predicate secondaryRunway P130266 FINISHED
Object Runway 14L/32R
Runway 14L/32R is one of the two main runways at Osaka International Airport (Itami), handling a significant share of the airport’s domestic flight operations.
 E2166046 NE FINISHED

How this triple was built (3 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 14L/32R | Statement: [runway system of Osaka International Airport, secondaryRunway, Runway 14L/32R]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Runway 14L/32R
Triple: [runway system of Osaka International Airport, secondaryRunway, Runway 14L/32R]
Generated description
Runway 14L/32R is one of the two main runways at Osaka International Airport (Itami), handling a significant share of the airport’s domestic flight operations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: secondaryRunway
Context triple: [runway system of Osaka International Airport, secondaryRunway, Runway 14L/32R]
  • A. hasSecondaryRunway chosen
    Indicates that an entity possesses an additional runway beyond its primary runway.
  • B. isPrimaryRunwayOf
    Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
  • C. runway
    Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
  • D. hasParallelRunwaySystemRole
    Indicates that an entity holds a specific role or function within a parallel runway system.
  • E. hasSinglePrimaryRunway
    Indicates that an airport or airfield possesses exactly one main runway used as its primary operational runway.
  • F. None of above.

Provenance (6 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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fec8aef1d8819094c7fd7074038e6b completed May 9, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38dde459408190b102185449d10a35 completed June 22, 2026, 7:01 a.m.
NEDg Description generation batch_6a38f3daf5188190921d7e7cf19fd18a completed June 22, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a38f513d3e88190aa25e33d93bf12a4 completed June 22, 2026, 8:40 a.m.
PD Predicate disambiguation batch_69fec639876481908efd84a3631a4271 completed May 9, 2026, 5:29 a.m.
Created at: May 1, 2026, 1:24 a.m.