Triple

T9136328
Position Surface form Disambiguated ID Type / Status
Subject MoneyGram E219213 entity
Predicate hasCompetitor P1375 FINISHED
Object Remitly E642870 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: Remitly | Statement: [MoneyGram, hasCompetitor, Remitly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remitly
Context triple: [MoneyGram, hasCompetitor, Remitly]
  • A. Remitly chosen
    Remitly is a digital financial services company that specializes in low-cost, app-based international money transfers for immigrants and their families.
  • B. WorldRemit
    WorldRemit is a digital money transfer service that enables users to send international remittances quickly and securely via web and mobile platforms.
  • C. MoneyGram
    MoneyGram is a global money transfer and payment services company that enables consumers and businesses to send and receive funds internationally, similar to Western Union.
  • D. TransferWise
    TransferWise is a financial technology company, now known as Wise, that provides low-cost international money transfers and multi-currency accounts.
  • E. Ria Money Transfer
    Ria Money Transfer is a global remittance company that provides international money transfer and payment services through a large network of agents and digital platforms.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8df68108190bb2df0583c5ad481 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf5534c8190894c2d8376764876 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:18 p.m.