Triple

T13714561
Position Surface form Disambiguated ID Type / Status
Subject Runway 2/20 E328860 entity
Predicate hasRunwayEnd P8863 FINISHED
Object Runway 2
Runway 2 is one end of an airport runway designated with the heading “02,” typically aligned roughly toward 020 degrees on the compass.
E1058127 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 2 | Statement: [Runway 2/20, hasRunwayEnd, Runway 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 2
Context triple: [Runway 2/20, hasRunwayEnd, Runway 2]
  • 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 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • C. Runway 5
    Runway 5 is an airport runway designation indicating an approximate magnetic heading of 50 degrees, typically used when runway numbers are updated to reflect shifts in Earth’s magnetic variation.
  • D. Runway 22
    Runway 22 is the runway end aligned approximately with a 220-degree magnetic heading, commonly used for aircraft takeoffs and landings in that direction.
  • E. Runway 19
    Runway 19 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
  • 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 2
Triple: [Runway 2/20, hasRunwayEnd, Runway 2]
Generated description
Runway 2 is one end of an airport runway designated with the heading “02,” typically aligned roughly toward 020 degrees on the compass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runway 2
Target entity description: Runway 2 is one end of an airport runway designated with the heading “02,” typically aligned roughly toward 020 degrees on the compass.
  • 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 4
    Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
  • C. Runway 5
    Runway 5 is an airport runway designation indicating an approximate magnetic heading of 50 degrees, typically used when runway numbers are updated to reflect shifts in Earth’s magnetic variation.
  • D. Runway 22
    Runway 22 is the runway end aligned approximately with a 220-degree magnetic heading, commonly used for aircraft takeoffs and landings in that direction.
  • E. Runway 19
    Runway 19 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d56a90081908158dcf4ee061fb6 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f7a15f3c908190be380355972def6e completed May 3, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2234390819093814fd435f9c42c completed May 3, 2026, 7:29 p.m.
Created at: April 9, 2026, 9:54 p.m.