Triple

T9800408
Position Surface form Disambiguated ID Type / Status
Subject Visa Checkout E237821 entity
Predicate competesWith P1375 FINISHED
Object Google Pay E9286 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: Google Pay | Statement: [Visa Checkout, competesWith, Google Pay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Pay
Context triple: [Visa Checkout, competesWith, Google Pay]
  • A. Google Pay chosen
    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.
  • B. GrabPay
    GrabPay is Grab’s digital wallet and mobile payment service used for cashless transactions across transport, food delivery, and everyday purchases in Southeast Asia.
  • C. Samsung Pay
    Samsung Pay is a mobile payment and digital wallet service by Samsung that lets users make secure contactless payments using compatible Samsung 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. MobilePay
    MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda628fe0081909d2fbac3bd56ee84 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.