Triple

T5620219
Position Surface form Disambiguated ID Type / Status
Subject Szczecin-Goleniów Airport E147581 entity
Predicate hasRunway P105 FINISHED
Object Runway 13/31
Runway 13/31 is the primary paved runway used for takeoffs and landings at Szczecin-Goleniów Airport in northwestern Poland.
E623576 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 13/31 | Statement: [Szczecin-Goleniów Airport, hasRunway, Runway 13/31]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 13/31
Context triple: [Szczecin-Goleniów Airport, hasRunway, Runway 13/31]
  • A. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Nashville International Airport, used for handling a mix of commercial, cargo, and general aviation traffic.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at Islay Airport in Scotland, used for regional passenger and general aviation flights.
  • C. Runway 13/31
    Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
  • D. Runway 13/31
    Runway 13/31 is a primary paved runway at Yao Airport in Japan, used for takeoffs and landings by the airport’s aircraft.
  • E. Runway 13/31
    Runway 13/31 is a primary paved runway at LaGrange–Callaway Airport in Georgia, used for general aviation takeoffs and landings.
  • 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 13/31
Triple: [Szczecin-Goleniów Airport, hasRunway, Runway 13/31]
Generated description
Runway 13/31 is the primary paved runway used for takeoffs and landings at Szczecin-Goleniów Airport in northwestern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 13/31
Target entity description: Runway 13/31 is the primary paved runway used for takeoffs and landings at Szczecin-Goleniów Airport in northwestern Poland.
  • A. Runway 13/31
    Runway 13/31 is a primary paved runway used for aircraft takeoffs and landings at Jenderal Ahmad Yani International Airport in Indonesia.
  • B. Runway 13/31
    Runway 13/31 is a primary paved runway at Aberdeen Regional Airport in South Dakota, used for general aviation and commercial flight operations.
  • C. Runway 13/31
    Runway 13/31 is a primary paved runway at Islay Airport in Scotland, used for regional passenger and general aviation flights.
  • D. Runway 13/31
    Runway 13/31 is a primary paved runway at Yao Airport in Japan, used for takeoffs and landings by the airport’s aircraft.
  • E. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Winnipeg James Armstrong Richardson International Airport, used for handling a range of commercial 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022108db8819098739510366adee1 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f5aca208190824a611c784ab1a1 completed March 28, 2026, 1:31 a.m.
NEDg Description generation batch_69c732492ec48190a91013d9a0ff0543 completed March 28, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69c732b9fa3c81909af77d3546917222 completed March 28, 2026, 1:45 a.m.
Created at: March 22, 2026, 3:40 p.m.