Triple

T15563539
Position Surface form Disambiguated ID Type / Status
Subject RAF St Mawgan E371056 entity
Predicate hasRunway P105 FINISHED
Object Runway 12/30
Runway 12/30 is a principal paved runway at RAF St Mawgan in Cornwall, England, used for military and aviation operations.
 E1174352 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 12/30 | Statement: [RAF St Mawgan, hasRunway, Runway 12/30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 12/30
Context triple: [RAF St Mawgan, hasRunway, Runway 12/30]
  • A. Runway 12/30
    Runway 12/30 is a principal runway at Cairns Airport in Queensland, Australia, used for both domestic and international aircraft operations.
  • B. Runway 12/30
    Runway 12/30 is a principal paved runway at Ambala Air Force Station in Haryana, India, used for military flight operations.
  • C. Runway 12/30
    Runway 12/30 is a primary paved runway at Minden–Tahoe Airport in Nevada, used for general aviation and glider operations.
  • D. Runway 12/30
    Runway 12/30 is a principal paved runway at Brest Airport in France, aligned roughly southeast–northwest to accommodate prevailing winds and commercial air traffic.
  • E. Runway 12/30
    Runway 12/30 is a primary paved runway at Brewton Municipal Airport in Alabama, used for general aviation takeoffs and landings aligned roughly southeast–northwest.
  • 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 12/30
Triple: [RAF St Mawgan, hasRunway, Runway 12/30]
Generated description
Runway 12/30 is a principal paved runway at RAF St Mawgan in Cornwall, England, used for military and aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 12/30
Target entity description: Runway 12/30 is a principal paved runway at RAF St Mawgan in Cornwall, England, used for military and aviation operations.
  • A. Runway 12/30
    Runway 12/30 is a principal paved runway at Málaga Airport in southern Spain, used for handling a large volume of commercial air traffic.
  • B. Runway 12/30
    Runway 12/30 is a principal paved runway at Ambala Air Force Station in Haryana, India, used for military flight operations.
  • C. Runway 12/30
    Runway 12/30 is a primary paved runway at Appleton International Airport used for handling a range of commercial and general aviation aircraft operations.
  • D. Runway 12/30
    Runway 12/30 is a primary paved runway at Sault Ste. Marie Airport in Ontario, Canada, used for regional and commercial air traffic operations.
  • E. Runway 12/30
    Runway 12/30 is a principal paved runway at Canberra Airport used for handling domestic and international air 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e56ffc81909e3228a660df4e09 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:10 a.m.