Triple

T2425609
Position Surface form Disambiguated ID Type / Status
Subject Martin State Airport E53518 entity
Predicate hasRunway P105 FINISHED
Object Runway 15/33
Runway 15/33 is a primary paved runway used for aircraft takeoffs and landings at Martin State Airport in Maryland.
E364594 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 15/33 | Statement: [Martin State Airport, hasRunway, Runway 15/33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 15/33
Context triple: [Martin State Airport, hasRunway, Runway 15/33]
  • A. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • B. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation traffic.
  • C. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Hamburg Airport, used for handling both domestic and international air traffic.
  • D. Runway 15/33
    Runway 15/33 is one of the designated landing and takeoff runways at Chicago O'Hare International Airport, supporting its role as a major global aviation hub.
  • E. Runway 15/33
    Runway 15/33 is one of the primary paved runways used for aircraft takeoffs and landings at Hollywood Burbank Airport in Burbank, California.
  • 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 15/33
Triple: [Martin State Airport, hasRunway, Runway 15/33]
Generated description
Runway 15/33 is a primary paved runway used for aircraft takeoffs and landings at Martin State Airport in Maryland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 15/33
Target entity description: Runway 15/33 is a primary paved runway used for aircraft takeoffs and landings at Martin State Airport in Maryland.
  • A. Runway 15/33
    Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
  • B. Runway 15/33
    Runway 15/33 is one of the designated landing and takeoff runways at Chicago O'Hare International Airport, supporting its role as a major global aviation hub.
  • C. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation traffic.
  • D. Runway 15/33
    Runway 15/33 is one of the primary paved runways used for aircraft takeoffs and landings at Hollywood Burbank Airport in Burbank, California.
  • E. Runway 15/33
    Runway 15/33 is one of the primary paved runways at Hamburg Airport, used for handling both domestic and international air traffic.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37e3d80d081908bb563323e250978 completed March 13, 2026, 3:02 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 6, 2026, 9:42 p.m.