Triple

T18996291
Position Surface form Disambiguated ID Type / Status
Subject VLY E464822 entity
Predicate hasRunway P105 FINISHED
Object Runway 13/31
Runway 13/31 is a primary paved runway at Anglesey Airport (VLY) in Wales, used for both civilian and military aviation operations.
E1375922 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: [VLY, hasRunway, Runway 13/31]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 13/31
Context triple: [VLY, 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 a principal paved runway used for aircraft takeoffs and landings at Pinto Martins – Fortaleza International Airport in Fortaleza, Brazil.
  • D. Runway 13/31
    Runway 13/31 is a primary paved runway at Rochester International Airport used for handling a range of commercial and general aviation aircraft operations.
  • E. Runway 13/31
    Runway 13/31 is a primary paved runway at Lancaster Regional Airport 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: [VLY, hasRunway, Runway 13/31]
Generated description
Runway 13/31 is a primary paved runway at Anglesey Airport (VLY) in Wales, used for both civilian and military aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 13/31
Target entity description: Runway 13/31 is a primary paved runway at Anglesey Airport (VLY) in Wales, used for both civilian and military aviation operations.
  • A. Runway 13/31
    Runway 13/31 is one of the principal paved runways at Royal Air Force Valley in Wales, used primarily for fast jet training operations.
  • 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 a primary paved runway at Lancaster Regional Airport used for general aviation takeoffs and landings.
  • D. Runway 13/31
    Runway 13/31 is one of the primary paved runways at Vancouver International Airport, used for handling a mix of domestic and international air traffic under varying wind and weather conditions.
  • E. 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.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6819f8c81908bbf0448baf7e34b completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0733b6f7dc8190844310ea388ffc09 completed May 15, 2026, 2:54 p.m.
NEDg Description generation batch_6a07371d1030819090e79549769dc919 completed May 15, 2026, 3:09 p.m.
NED2 Entity disambiguation (via description) batch_6a07377a8ef881909b45139d32a3d973 completed May 15, 2026, 3:10 p.m.
Created at: April 10, 2026, 12:01 p.m.