Triple

T8016349
Position Surface form Disambiguated ID Type / Status
Subject North Field E186626 entity
Predicate hasRunway P105 FINISHED
Object Runway D
Runway D is one of the designated aircraft landing and takeoff strips located at North Field airfield.
E710123 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 D | Statement: [North Field, hasRunway, Runway D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway D
Context triple: [North Field, hasRunway, Runway D]
  • A. 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.
  • B. 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.
  • C. Runway 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • D. Runway A
    Runway A is a designated aircraft landing and takeoff strip located within North Field airport.
  • E. 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.
  • 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 D
Triple: [North Field, hasRunway, Runway D]
Generated description
Runway D is one of the designated aircraft landing and takeoff strips located at North Field airfield.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway D
Target entity description: Runway D is one of the designated aircraft landing and takeoff strips located at North Field airfield.
  • A. 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.
  • B. 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.
  • C. Runway 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • D. Runway A
    Runway A is a designated aircraft landing and takeoff strip located within North Field airport.
  • E. 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.
  • 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_69cc63c4937c8190999a156299299ab3 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc67e8eb78819093fde98c7b27a0c8 completed April 1, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_69cc6946aa5481908d682957b818a3e9 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:20 p.m.