Triple

T987830
Position Surface form Disambiguated ID Type / Status
Subject Kansas City International Airport E21317 entity
Predicate hasCargoAirline P22785 FINISHED
Object FedEx Express E4793 NE FINISHED

How this triple was built (3 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: FedEx Express | Statement: [Kansas City International Airport, hasCargoAirline, FedEx Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FedEx Express
Context triple: [Kansas City International Airport, hasCargoAirline, FedEx Express]
  • A. FedEx chosen
    FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
  • B. United Parcel Service (UPS)
    United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
  • C. DHL
    DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
  • D. DHL
    DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
  • E. YRC Worldwide
    YRC Worldwide is a large American less-than-truckload (LTL) freight transportation and logistics company headquartered in Overland Park, Kansas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCargoAirline
Context triple: [Kansas City International Airport, hasCargoAirline, FedEx Express]
  • A. hasCargoServices
    Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
  • B. hasCargoDivision
    Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
  • C. hasBaggageSystem
    Indicates that an entity is equipped with or utilizes a baggage handling system.
  • D. mainCargo
    Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
  • E. hasCargoTerminal
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a89a58819081a24b5b0a12f122 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69a4b2abccbc8190a83af432f89eacf5 completed March 1, 2026, 9:42 p.m.
PDg Predicate description generation batch_69a4b38630848190bd3898a4f42018ad completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:41 p.m.