Triple

T9136298
Position Surface form Disambiguated ID Type / Status
Subject Orlandi Valuta E219212 entity
Predicate hasCompetitor P1375 FINISHED
Object MoneyGram E219213 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: MoneyGram | Statement: [Orlandi Valuta, hasCompetitor, MoneyGram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoneyGram
Context triple: [Orlandi Valuta, hasCompetitor, MoneyGram]
  • A. MoneyGram chosen
    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.
  • B. Remitly
    Remitly is a digital financial services company that specializes in low-cost, app-based international money transfers for immigrants and their families.
  • C. Western Union
    Western Union is a major American financial services and communications company best known for its historic telegraph network and global money transfer services.
  • D. 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.
  • E. Girobank
    Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
  • 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_69d05452acb481909fcf5f826caa6ae6 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.