Triple

T8016348
Position Surface form Disambiguated ID Type / Status
Subject North Field E186626 entity
Predicate hasRunway P105 FINISHED
Object Runway C
Runway C is one of the designated runways at North Field, serving as part of its airfield infrastructure for aircraft takeoffs and landings.
 E707589 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 C | Statement: [North Field, hasRunway, Runway C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway C
Context triple: [North Field, hasRunway, Runway C]
  • A. Runway 3
    Runway 3 is an airport runway designation indicating a magnetic heading of approximately 030 degrees, used to guide aircraft during takeoff and landing.
  • B. Runway 1/19
    Runway 1/19 is a primary paved runway at Charles B. Wheeler Downtown Airport in Kansas City, Missouri, used for general aviation and regional air traffic operations.
  • C. Runway 1/19
    Runway 1/19 is a primary north–south runway at Ronald Reagan Washington National Airport in Arlington, Virginia, used for both commercial and general aviation operations.
  • D. Runway 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • E. Runway 2/20
    Runway 2/20 is a primary paved runway at Santa Fe Regional Airport used for general aviation and commercial flight 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 C
Triple: [North Field, hasRunway, Runway C]
Generated description
Runway C is one of the designated runways at North Field, serving as part of its airfield infrastructure for aircraft takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway C
Target entity description: Runway C is one of the designated runways at North Field, serving as part of its airfield infrastructure for aircraft takeoffs and landings.
  • A. Runway 3
    Runway 3 is an airport runway designation indicating a magnetic heading of approximately 030 degrees, used to guide aircraft during takeoff and landing.
  • B. Runway 1/19
    Runway 1/19 is a primary paved runway at Charles B. Wheeler Downtown Airport in Kansas City, Missouri, used for general aviation and regional air traffic operations.
  • C. Runway 1/19
    Runway 1/19 is a primary north–south runway at Ronald Reagan Washington National Airport in Arlington, Virginia, used for both commercial and general aviation operations.
  • D. Runway 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • E. Runway 2/20
    Runway 2/20 is a primary paved runway at Santa Fe Regional Airport used for general aviation and commercial flight 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df37a00819088780e5461bc5b41 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56ba88b88190ad279d79d7f0ffd7 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:20 p.m.