Triple

T11960069
Position Surface form Disambiguated ID Type / Status
Subject Rogers credit cards E284644 entity
Predicate offeredBy P178 FINISHED
Object Rogers Bank website E59614 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: Rogers Bank website | Statement: [Rogers credit cards, offeredBy, Rogers Bank website]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogers Bank website
Context triple: [Rogers credit cards, offeredBy, Rogers Bank website]
  • A. Rogers credit cards
    Rogers credit cards are a line of Canadian credit cards issued by Rogers Bank, typically known for offering strong cash-back rewards, especially on purchases in foreign currencies and within the Rogers ecosystem.
  • B. Rogers Bank chosen
    Rogers Bank is a Canadian financial institution owned by Rogers Communications that focuses primarily on consumer credit card and payment products.
  • C. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • D. Rogers
    Rogers is a major Canadian communications and media company known for its wireless, cable, internet, and sports media services.
  • E. Rogers
    Rogers is a small suburban city in Minnesota known for its location northwest of Minneapolis and its blend of residential neighborhoods, light industry, and retail development.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.