Triple

T5060001
Position Surface form Disambiguated ID Type / Status
Subject Chitose Air Base E113998 entity
Predicate hasRunway P105 FINISHED
Object Runway 01L/19R
Runway 01L/19R is a principal paved runway used for aircraft operations at Chitose Air Base in Hokkaido, Japan.
 E592797 NE FINISHED

How this triple was built (4 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 01L/19R | Statement: [Chitose Air Base, hasRunway, Runway 01L/19R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 01L/19R
Context triple: [Chitose Air Base, hasRunway, Runway 01L/19R]
  • A. Runway 01L/19R
    Runway 01L/19R is one of the primary parallel runways at San Francisco International Airport, used for both arrivals and departures in varying wind conditions.
  • B. Runway 01L/19R
    Runway 01L/19R is one of the primary paved runways at Stockholm Arlanda Airport, used for handling both domestic and international air traffic.
  • C. Runway 01L/19R
    Runway 01L/19R is a primary paved runway used for aircraft takeoffs and landings at Kansas City International Airport in Missouri, USA.
  • D. Runway 01R/19L
    Runway 01R/19L is one of the primary parallel runways used for aircraft takeoffs and landings at San Francisco International Airport.
  • E. Runway 01R/19L
    Runway 01R/19L is one of the main paved runways at Stockholm Arlanda Airport, used for handling both domestic and international air traffic.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 01L/19R
Triple: [Chitose Air Base, hasRunway, Runway 01L/19R]
Generated description
Runway 01L/19R is a principal paved runway used for aircraft operations at Chitose Air Base in Hokkaido, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 01L/19R
Target entity description: Runway 01L/19R is a principal paved runway used for aircraft operations at Chitose Air Base in Hokkaido, Japan.
  • A. Runway 01L/19R
    Runway 01L/19R is one of the primary parallel runways at San Francisco International Airport, used for both arrivals and departures in varying wind conditions.
  • B. Runway 01L/19R
    Runway 01L/19R is one of the primary paved runways at Stockholm Arlanda Airport, used for handling both domestic and international air traffic.
  • C. Runway 01L/19R
    Runway 01L/19R is a primary paved runway used for aircraft takeoffs and landings at Kansas City International Airport in Missouri, USA.
  • D. Runway 01R/19L
    Runway 01R/19L is one of the primary parallel runways used for aircraft takeoffs and landings at San Francisco International Airport.
  • E. Runway 01R/19L
    Runway 01R/19L is one of the main paved runways at Stockholm Arlanda Airport, used for handling both domestic and international air traffic.
  • F. None of above. chosen

Provenance (5 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6409132c481909f287f98290497f9 completed March 27, 2026, 8:32 a.m.
NEDg Description generation batch_69c6431b4fa48190b92ef0d4af50f84a completed March 27, 2026, 8:43 a.m.
NED2 Entity disambiguation (via description) batch_69c643e3d6488190851d1a35bb7b2c6c completed March 27, 2026, 8:46 a.m.
Created at: March 20, 2026, 1:38 p.m.