Triple

T7977022
Position Surface form Disambiguated ID Type / Status
Subject Wing E185471 entity
Predicate competesWith P1375 FINISHED
Object Amazon Prime Air E179991 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 Prime Air | Statement: [Wing, competesWith, Amazon Prime Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Prime Air
Context triple: [Wing, competesWith, Amazon Prime Air]
  • A. Amazon Air chosen
    Amazon Air is the cargo airline division of Amazon that operates a dedicated air network to expedite the company’s package delivery across the United States and internationally.
  • B. Project Wing delivery drones
    Project Wing delivery drones are autonomous aerial vehicles developed by Alphabet’s experimental Moonshot Factory to test and provide rapid, on-demand package delivery services.
  • C. Amazon Prime
    Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
  • D. Rocket Delivery
    Rocket Delivery is Coupang’s signature ultra-fast shipping service in South Korea, known for offering same-day or next-day delivery on a wide range of products.
  • E. Cargojet
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.