Triple

T16307604
Position Surface form Disambiguated ID Type / Status
Subject Rickenbacker International Airport E395961 entity
Predicate hasRunway P105 FINISHED
Object Runway 5R/23L E524032 NE FINISHED

How this triple was built (2 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 5R/23L | Statement: [Rickenbacker International Airport, hasRunway, Runway 5R/23L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 5R/23L
Context triple: [Rickenbacker International Airport, hasRunway, Runway 5R/23L]
  • A. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Indianapolis International Airport used for commercial and cargo aircraft operations.
  • B. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Piedmont Triad International Airport in North Carolina, used for commercial and general aviation operations.
  • C. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Willow Run Airport in Michigan, used mainly for cargo and general aviation operations.
  • D. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at McGhee Tyson Airport in Tennessee, used for commercial and general aviation aircraft operations.
  • E. Runway 5R/23L chosen
    Runway 5R/23L is a primary paved runway at Rickenbacker International Airport in Ohio, used for handling large commercial and cargo aircraft operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d63b688190ad5ebc3fb5dd5b4c completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035537d188190a88753d58939faf4 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:06 a.m.