Triple

T6365920
Position Surface form Disambiguated ID Type / Status
Subject Runway 18/36 E143228 entity
Predicate hasRunwayEnd P8863 FINISHED
Object Runway 18
Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
E666049 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 18 | Statement: [Runway 18/36, hasRunwayEnd, Runway 18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 18
Context triple: [Runway 18/36, hasRunwayEnd, Runway 18]
  • A. Runway 17
    Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
  • B. Runway 22
    Runway 22 is the runway end aligned approximately with a 220-degree magnetic heading, commonly used for aircraft takeoffs and landings in that direction.
  • C. Runway 11/29
    Runway 11/29 is a principal paved runway at Volgograd International Airport in Russia, used for handling the airport’s commercial air traffic.
  • D. Runway 11/29
    Runway 11/29 is a primary paved runway at Schaumburg Regional Airport in Illinois, serving general aviation aircraft for takeoffs and landings.
  • E. Runway 11/29
    Runway 11/29 is a primary paved runway at Worcester Regional Airport in Massachusetts, used for commercial and general aviation 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 18
Triple: [Runway 18/36, hasRunwayEnd, Runway 18]
Generated description
Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 18
Target entity description: Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
  • A. Runway 17
    Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
  • B. Runway 22
    Runway 22 is the runway end aligned approximately with a 220-degree magnetic heading, commonly used for aircraft takeoffs and landings in that direction.
  • C. Runway 11/29
    Runway 11/29 is a principal paved runway at Volgograd International Airport in Russia, used for handling the airport’s commercial air traffic.
  • D. Runway 11/29
    Runway 11/29 is a primary paved runway at Schaumburg Regional Airport in Illinois, serving general aviation aircraft for takeoffs and landings.
  • E. Runway 11/29
    Runway 11/29 is a primary paved runway at Worcester Regional Airport in Massachusetts, used for commercial and general aviation operations.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068106e18819087ed2e9841d2b365 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83414c374819085ca1e441728c6af completed March 28, 2026, 8:03 p.m.
NEDg Description generation batch_69c834df98908190a13df51182751a75 completed March 28, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69c83597d0f0819091a095e8376fd644 completed March 28, 2026, 8:10 p.m.
Created at: March 22, 2026, 4:32 p.m.