Triple

T987832
Position Surface form Disambiguated ID Type / Status
Subject Kansas City International Airport E21317 entity
Predicate hasCargoAirline P22785 FINISHED
Object Amazon Air E4942 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: Amazon Air | Statement: [Kansas City International Airport, hasCargoAirline, Amazon Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Air
Context triple: [Kansas City International Airport, hasCargoAirline, Amazon Air]
  • A. Amazon chosen
    Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
  • B. FedEx
    FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
  • C. UPS Airlines
    UPS Airlines is a major American cargo airline and the air freight division of United Parcel Service, operating a global network of package and logistics flights.
  • D. 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.
  • E. Coupang
    Coupang is a South Korean e-commerce company often called the “Amazon of Korea,” known for its ultra-fast delivery service and dominant online retail platform.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b75103688190a14342eef3842984 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:41 p.m.