Triple

T8393380
Position Surface form Disambiguated ID Type / Status
Subject Grand Forks International Airport E197995 entity
Predicate hasRunway P105 FINISHED
Object Runway 9L/27R
Runway 9L/27R is a primary paved runway at Grand Forks International Airport used for aircraft takeoffs and landings.
E765492 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 9L/27R | Statement: [Grand Forks International Airport, hasRunway, Runway 9L/27R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 9L/27R
Context triple: [Grand Forks International Airport, hasRunway, Runway 9L/27R]
  • A. Runway 9L/27R
    Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Orlando Sanford International Airport in Florida.
  • B. Runway 9L/27R
    Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Melbourne Orlando International Airport in Florida.
  • C. Runway 9R/27L
    Runway 9R/27L is a primary paved runway at Orlando Sanford International Airport used for commercial and general aviation operations.
  • D. Runway 9/27
    Runway 9/27 is a primary east–west runway at Memphis International Airport used for commercial and cargo aircraft operations.
  • E. Runway 9/27
    Runway 9/27 is a primary east–west runway at Tallahassee International Airport used for commercial and general aviation operations.
  • 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 9L/27R
Triple: [Grand Forks International Airport, hasRunway, Runway 9L/27R]
Generated description
Runway 9L/27R is a primary paved runway at Grand Forks International Airport used for aircraft takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 9L/27R
Target entity description: Runway 9L/27R is a primary paved runway at Grand Forks International Airport used for aircraft takeoffs and landings.
  • A. Runway 9L/27R
    Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Orlando Sanford International Airport in Florida.
  • B. Runway 9L/27R
    Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Melbourne Orlando International Airport in Florida.
  • C. Runway 9R/27L
    Runway 9R/27L is a primary paved runway at Orlando Sanford International Airport used for commercial and general aviation operations.
  • D. Runway 9/27
    Runway 9/27 is a primary east–west runway at Memphis International Airport used for commercial and cargo aircraft operations.
  • E. Runway 9/27
    Runway 9/27 is a primary east–west runway at Tallahassee International Airport used for commercial and general aviation operations.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f030fc8190961bcb067350e3e6 completed April 3, 2026, 1 p.m.
NEDg Description generation batch_69cfbacea9408190a38f14817437c382 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb6235148190850865a734d55a6c completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:03 p.m.