Triple

T798043
Position Surface form Disambiguated ID Type / Status
Subject Martha's Vineyard Airport E17064 entity
Predicate hasRunway P105 FINISHED
Object Runway 6/24
Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and general aviation takeoffs and landings.
 E104303 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 6/24 | Statement: [Martha's Vineyard Airport, hasRunway, Runway 6/24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 6/24
Context triple: [Martha's Vineyard Airport, hasRunway, Runway 6/24]
  • A. Runway 06R/24L
    Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
  • B. Runway 06R/24L
    Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
  • C. Runway 8/26
    Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
  • D. Runway 06/24
    Runway 06/24 is one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
  • E. Runway 06L/24R
    Runway 06L/24R is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
  • 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 6/24
Triple: [Martha's Vineyard Airport, hasRunway, Runway 6/24]
Generated description
Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and general aviation takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 6/24
Target entity description: Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and general aviation takeoffs and landings.
  • A. Runway 06R/24L
    Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
  • B. Runway 06R/24L
    Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
  • C. Runway 8/26
    Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
  • D. Runway 06/24
    Runway 06/24 is one of the primary paved runways used for aircraft takeoffs and landings at Paris Orly Airport in France.
  • E. Runway 06L/24R
    Runway 06L/24R is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b342888190a344fe81a2c9f33c completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83f0fb4819097f29c9ab90cf1a8 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7bc1acf708190aa86cd5eca101966 completed March 4, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7bc96dd2881909310147292b99023 completed March 4, 2026, 5:01 a.m.
Created at: March 1, 2026, 7:38 p.m.