Triple

T17447372
Position Surface form Disambiguated ID Type / Status
Subject Daytona Beach International Airport E424819 entity
Predicate servedByAirlines P35742 FINISHED
Object scheduled passenger airlines LITERAL 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: scheduled passenger airlines | Statement: [Daytona Beach International Airport, servedByAirlines, scheduled passenger airlines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedByAirlines
Context triple: [Daytona Beach International Airport, servedByAirlines, scheduled passenger airlines]
  • A. servesAirlinesFrom
    Indicates that a location or facility provides service or operations for flights belonging to specific airlines originating from that place.
  • B. airTransportServedBy
    Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
  • C. servesAirline
    Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
  • D. servesAirlineType
    Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
  • E. hasAirlines chosen
    Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
  • F. None of above.

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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
PD Predicate disambiguation batch_69e3b4f0e3fc819094e466b74622c956 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:47 a.m.