Triple

T2628563
Position Surface form Disambiguated ID Type / Status
Subject Kauhava Air Base E59178 entity
Predicate hasRunway P105 FINISHED
Object Runway 17/35
Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
E380073 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: [Kauhava Air Base, hasRunway, Runway 17/35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 17/35
Context triple: [Kauhava Air Base, hasRunway, Runway 17/35]
  • A. 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.
  • B. 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.
  • C. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft takeoffs and landings at Ministro Pistarini International Airport near Buenos Aires, Argentina.
  • D. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • E. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation 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 17/35
Triple: [Kauhava Air Base, hasRunway, Runway 17/35]
Generated description
Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 17/35
Target entity description: Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • A. 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.
  • B. 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.
  • C. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft takeoffs and landings at Ministro Pistarini International Airport near Buenos Aires, Argentina.
  • D. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • E. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c2e3d88190a972f58356f282cc completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4c34fb7d881908d45f96f621d26ad completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c713c3888190bfcdf5fe9b3969c2 completed March 14, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4c7b31e648190b9b8e1f761163035 completed March 14, 2026, 2:28 a.m.
Created at: March 6, 2026, 9:50 p.m.