Triple

T7346790
Position Surface form Disambiguated ID Type / Status
Subject Gojek E169399 entity
Predicate hasService P182 FINISHED
Object GoPay E659399 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: GoPay | Statement: [Gojek, hasService, GoPay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GoPay
Context triple: [Gojek, hasService, GoPay]
  • A. GoPay chosen
    GoPay is a leading Indonesian digital wallet and payment platform that enables users to make cashless transactions for online and offline services, including ride-hailing, food delivery, and bill payments.
  • 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. 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.
  • D. OVpay
    OVpay is the new Dutch nationwide public transport payment system that lets passengers check in and out using contactless bank cards, smartphones, or wearables instead of a dedicated transit card.
  • E. Pagumen
    Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b24194819096b796de15d66ed2 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.