Triple

T21262235
Position Surface form Disambiguated ID Type / Status
Subject Runway 5R/23L E524032 entity
Predicate hasDesignation P974 FINISHED
Object 5R/23L
5R/23L is a numbered airport runway aligned roughly northeast–southwest, typically serving as one of a pair of parallel runways at a medium or large airport.
 E1474664 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: 5R/23L | Statement: [Runway 5R/23L, hasDesignation, 5R/23L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 5R/23L
Context triple: [Runway 5R/23L, hasDesignation, 5R/23L]
  • A. 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.
  • B. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • C. 13R/31L
    13R/31L is one of the primary runways at San Antonio International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
  • D. 4R/22L
    4R/22L is a primary paved runway at Boston Logan International Airport used for commercial air traffic operations.
  • E. 13L/31R
    13L/31R is a primary paved runway at San Antonio International Airport used for commercial and general aviation takeoffs and landings.
  • 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: 5R/23L
Triple: [Runway 5R/23L, hasDesignation, 5R/23L]
Generated description
5R/23L is a numbered airport runway aligned roughly northeast–southwest, typically serving as one of a pair of parallel runways at a medium or large airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 5R/23L
Target entity description: 5R/23L is a numbered airport runway aligned roughly northeast–southwest, typically serving as one of a pair of parallel runways at a medium or large airport.
  • A. 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.
  • B. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • C. 13R/31L
    13R/31L is one of the primary runways at San Antonio International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
  • D. 4R/22L
    4R/22L is a primary paved runway at Boston Logan International Airport used for commercial air traffic operations.
  • E. 13L/31R
    13L/31R is a primary paved runway at San Antonio International Airport used for commercial and general aviation takeoffs and landings.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e899e081909d3c98fb12a8b476 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ffe7b2c8190b80df1c552c84cdd completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990d50fa4819093221bb31735f7a5 completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991bc8370819087b205185299acce completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 4 p.m.