Triple

T7473313
Position Surface form Disambiguated ID Type / Status
Subject MSP E176562 entity
Predicate hasRunway P105 FINISHED
Object Runway 17/35
Runway 17/35 is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for both commercial and general aviation operations.
 E692167 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 17/35 | Statement: [MSP, hasRunway, Runway 17/35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 17/35
Context triple: [MSP, hasRunway, Runway 17/35]
  • A. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • B. Runway 17/35
    Runway 17/35 is a primary paved runway at Fort Worth Meacham International Airport used for general aviation and regional air traffic operations.
  • C. Runway 17/35
    Runway 17/35 is a primary paved runway at Essendon Airport in Melbourne, Australia, used for a mix of general aviation, corporate, and regional aircraft operations.
  • D. Runway 17/35
    Runway 17/35 is a primary paved runway at Bergen Airport, Flesland in Norway, used for both domestic and international air traffic operations.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway at Corvallis Municipal Airport in Oregon, used for general aviation and regional air traffic 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 17/35
Triple: [MSP, hasRunway, Runway 17/35]
Generated description
Runway 17/35 is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for both commercial and general aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 17/35
Target entity description: Runway 17/35 is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for both commercial and general aviation operations.
  • A. Runway 17/35
    Runway 17/35 is a primary paved runway at Fort Worth Meacham International Airport used for general aviation and regional air traffic operations.
  • B. Runway 17/35
    Runway 17/35 is a primary paved runway at Bergen Airport, Flesland in Norway, used for both domestic and international air traffic operations.
  • C. Runway 17/35
    Runway 17/35 is a primary paved runway at Pueblo Memorial Airport in Colorado, used for both general aviation and military training operations.
  • D. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway at Essendon Airport in Melbourne, Australia, used for a mix of general aviation, corporate, and regional aircraft 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f416d018819098275cc51d8def3f completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9ea3f8a20819096ae41db21c8da0e completed March 30, 2026, 3:13 a.m.
NEDg Description generation batch_69c9ead5f1348190bff07f3a414dacc5 completed March 30, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69c9ebdb82888190bc716f376ec4b2ec completed March 30, 2026, 3:19 a.m.
Created at: March 27, 2026, 3:41 p.m.