Triple

T6996524
Position Surface form Disambiguated ID Type / Status
Subject Runway 16/34 E162228 entity
Predicate hasRunwayEnd P8863 FINISHED
Object Runway 34
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
 E691317 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 34 | Statement: [Runway 16/34, hasRunwayEnd, Runway 34]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 34
Context triple: [Runway 16/34, hasRunwayEnd, Runway 34]
  • A. Runway 35
    Runway 35 is one end of a bidirectional airport runway, designated for operations in the approximate 350-degree magnetic heading direction.
  • B. 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.
  • C. Runway 17
    Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
  • D. 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.
  • E. Runway 21
    Runway 21 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
  • 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 34
Triple: [Runway 16/34, hasRunwayEnd, Runway 34]
Generated description
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 34
Target entity description: Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
  • A. Runway 35
    Runway 35 is one end of a bidirectional airport runway, designated for operations in the approximate 350-degree magnetic heading direction.
  • B. 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.
  • C. Runway 17
    Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
  • D. 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.
  • E. Runway 21
    Runway 21 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9765b3c5081908c3114271b5d3e15 completed March 29, 2026, 6:58 p.m.
NEDg Description generation batch_69c977c497ac8190a6689565d7104afd completed March 29, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69c977f2d7248190814fa90eab881688 completed March 29, 2026, 7:05 p.m.
Created at: March 27, 2026, 2:32 p.m.