Triple

T10546154
Position Surface form Disambiguated ID Type / Status
Subject KBOS airfield E248823 entity
Predicate hasRunway P105 FINISHED
Object Runway 4L/22R E879835 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 4L/22R | Statement: [KBOS airfield, hasRunway, Runway 4L/22R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 4L/22R
Context triple: [KBOS airfield, hasRunway, Runway 4L/22R]
  • A. Runway 4L/22R
    Runway 4L/22R is one of the primary runways at Chicago Midway International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
  • B. Runway 4L/22R chosen
    Runway 4L/22R is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures under various wind and traffic conditions.
  • C. Runway 4R/22L
    Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
  • D. Runway 4R/22L
    Runway 4R/22L is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
  • E. Runway 4R/22L
    Runway 4R/22L is one of the primary paved runways used for general aviation operations at Chandler Municipal Airport in Arizona.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5191345ac81909bc404ba9574ce4c completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6afdf0c8190924cb14512a89ee8 completed April 18, 2026, 8:16 p.m.
Created at: April 6, 2026, 12:33 p.m.