Triple

T21682
Position Surface form Disambiguated ID Type / Status
Subject Washington Dulles International Airport E430 entity
Predicate hasCargoOperations P1137 FINISHED
Object yes 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: yes | Statement: [Washington Dulles International Airport, hasCargoOperations, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCargoOperations
Context triple: [Washington Dulles International Airport, hasCargoOperations, yes]
  • A. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • B. operatesBy
    Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
  • C. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • D. hasOperationType chosen
    Indicates the specific kind or category of operation associated with an entity or process.
  • E. operatesWithin
    Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246e94ca881908f7a7d2c0b293033 completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a24654724481909ba14b7f68d2a472 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.