Triple

T10585765
Position Surface form Disambiguated ID Type / Status
Subject Hurghada International Airport E249849 entity
Predicate runway P1654 FINISHED
Object 16R/34L
16R/34L is a primary paved runway at Hurghada International Airport in Egypt, used for handling commercial air traffic to this Red Sea resort destination.
 E872529 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: 16R/34L | Statement: [Hurghada International Airport, runway, 16R/34L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 16R/34L
Context triple: [Hurghada International Airport, runway, 16R/34L]
  • A. 8R/26L
    8R/26L is a primary east–west runway at Long Beach Airport in California, used for commercial, general aviation, and military aircraft operations.
  • B. 15R/33L
    15R/33L is a primary north–south runway at George Bush Intercontinental Airport in Houston, Texas, used for both arrivals and departures of commercial air traffic.
  • C. 12R/30L
    12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
  • D. 10R/28L
    10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
  • E. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air 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: 16R/34L
Triple: [Hurghada International Airport, runway, 16R/34L]
Generated description
16R/34L is a primary paved runway at Hurghada International Airport in Egypt, used for handling commercial air traffic to this Red Sea resort destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 16R/34L
Target entity description: 16R/34L is a primary paved runway at Hurghada International Airport in Egypt, used for handling commercial air traffic to this Red Sea resort destination.
  • A. 8R/26L
    8R/26L is a primary east–west runway at Long Beach Airport in California, used for commercial, general aviation, and military aircraft operations.
  • B. 15R/33L
    15R/33L is a primary north–south runway at George Bush Intercontinental Airport in Houston, Texas, used for both arrivals and departures of commercial air traffic.
  • C. 12R/30L
    12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
  • D. 10R/28L
    10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
  • E. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527698be48190a2f5e573d7cc0661 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b8b1b708190865e428128f98720 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d68f39c8190bc7ea90237a5bf5f completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d9522d68b88190a63acb6d657168b4 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.