Triple

T8741288
Position Surface form Disambiguated ID Type / Status
Subject Brest Airport E207506 entity
Predicate hasRunway P105 FINISHED
Object 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.
 E783738 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: [Brest Airport, hasRunway, Runway 12/30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 12/30
Context triple: [Brest Airport, hasRunway, Runway 12/30]
  • A. Runway 12/30
    Runway 12/30 is the primary paved runway used for commercial flight operations at L.F. Wade International Airport in Bermuda.
  • B. Runway 12/30
    Runway 12/30 is a primary paved runway at Albuquerque International Sunport used for commercial and general aviation takeoffs and landings.
  • C. Runway 12/30
    Runway 12/30 is a primary paved runway at Edmonton International Airport used for handling a wide range of commercial and general aviation traffic.
  • D. Runway 12/30
    Runway 12/30 is a principal paved runway at Ambala Air Force Station in Haryana, India, used for military flight operations.
  • E. Runway 12/30
    Runway 12/30 is a primary paved runway at Tri-Cities Airport in Tennessee, used for handling a range of commercial and general aviation aircraft 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 12/30
Triple: [Brest Airport, hasRunway, Runway 12/30]
Generated description
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.
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 Brest Airport in France, aligned roughly southeast–northwest to accommodate prevailing winds and commercial air traffic.
  • A. Runway 12/30
    Runway 12/30 is a principal paved runway at Pointe-à-Pitre International Airport in Guadeloupe, used for handling both domestic and international air traffic.
  • B. Runway 12/30
    Runway 12/30 is a primary paved runway at Edmonton International Airport used for handling a wide range of commercial and general aviation traffic.
  • C. 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.
  • D. Runway 12/30
    Runway 12/30 is the primary paved runway used for commercial flight operations at L.F. Wade International Airport in Bermuda.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d4a0cf481909c770cb39fd00fcd completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05be0aabc8190838e5003fc6fd73e completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 6:38 p.m.