Triple

T17077339
Position Surface form Disambiguated ID Type / Status
Subject Georgia Latte Nista E414383 entity
Predicate brand P1500 FINISHED
Object Georgia Coffee E85137 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: Georgia Coffee | Statement: [Georgia Latte Nista, brand, Georgia Coffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Coffee
Context triple: [Georgia Latte Nista, brand, Georgia Coffee]
  • A. Georgia Coffee chosen
    Georgia Coffee is a ready-to-drink coffee brand owned by The Coca-Cola Company, particularly popular in Japan and other Asian markets.
  • B. Blue Mountains coffee
    Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
  • C. Georgia Café au Lait
    Georgia Café au Lait is a sweet, milky canned coffee drink sold under Coca-Cola’s Georgia Coffee brand, popular in Japan’s ready-to-drink coffee market.
  • D. Sandy Coffee
    Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
  • E. Marley Coffee
    Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc625c48190b679a521180e10ad completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014140722481909f976e32597a873d completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:34 a.m.