Triple
T9136274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Union Company |
E219211
|
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: [Western Union Company, hasCompetitor, Remitly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remitly Context triple: [Western Union Company, 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.
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.
-
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.
Bitpanda
Bitpanda is a European fintech platform that enables users to invest in cryptocurrencies, stocks, ETFs, and precious metals through a user-friendly digital interface.
-
E.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
- 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_69d047fb3c148190b2e1a19d4f76b550 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.