Triple

T401284
Position Surface form Disambiguated ID Type / Status
Subject Google Pay E9286 entity
Predicate competesWith P1375 FINISHED
Object Amazon Pay E31220 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 Pay | Statement: [Google Pay, competesWith, Amazon Pay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Pay
Context triple: [Google Pay, competesWith, Amazon Pay]
  • A. Amazon Pay chosen
    Amazon Pay is a digital payment service that lets customers use their Amazon accounts to make secure purchases and payments on third-party websites and apps.
  • B. PayPal
    PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
  • C. Google Pay
    Google Pay is a digital wallet and online payment platform developed by Google that enables users to make secure contactless payments, in-app purchases, and online transactions using their devices.
  • D. Apple Pay
    Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their Apple devices.
  • E. Pay.gov
    Pay.gov is a U.S. government online payment portal that allows individuals and businesses to securely make electronic payments to federal agencies.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec9f77888190bcc2bc68d201ed35 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f275ac81908b6fd095a6d5a415 completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.