Triple

T12853503
Position Surface form Disambiguated ID Type / Status
Subject Willard Airport E307387 entity
Predicate hasRunway P105 FINISHED
Object Runway 14R/32L
Runway 14R/32L is a primary paved runway at Willard Airport in Illinois, used for commercial and general aviation operations.
 E1031892 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 14R/32L | Statement: [Willard Airport, hasRunway, Runway 14R/32L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 14R/32L
Context triple: [Willard Airport, hasRunway, Runway 14R/32L]
  • A. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, and general aviation operations.
  • B. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Osaka International Airport in Japan.
  • C. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Eppley Airfield in Omaha, Nebraska.
  • D. Runway 14R/32L
    Runway 14R/32L is one of the main paved runways at Toulouse-Blagnac Airport in France, used for commercial and test flights including those of Airbus aircraft.
  • E. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Scott Air Force Base used for military aircraft operations and training.
  • 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 14R/32L
Triple: [Willard Airport, hasRunway, Runway 14R/32L]
Generated description
Runway 14R/32L is a primary paved runway at Willard Airport in Illinois, used for commercial and general aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 14R/32L
Target entity description: Runway 14R/32L is a primary paved runway at Willard Airport in Illinois, used for commercial and general aviation operations.
  • A. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Scott Air Force Base used for military aircraft operations and training.
  • B. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Osaka International Airport in Japan.
  • C. Runway 14R/32L
    Runway 14R/32L is a primary paved runway used for aircraft takeoffs and landings at Eppley Airfield in Omaha, Nebraska.
  • D. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
  • E. Runway 14R/32L
    Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716b63ad481909eb461d923f0d0c2 completed May 3, 2026, 9:34 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 5:36 p.m.