Triple
T7203722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nespresso |
E148612
|
entity |
| Predicate | notableProductLine |
P3585
|
FINISHED |
| Object | Vertuo line |
E148612
|
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: Vertuo line | Statement: [Nespresso, notableProductLine, Vertuo line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vertuo line Context triple: [Nespresso, notableProductLine, Vertuo line]
-
A.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
B.
Nespresso
chosen
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
C.
Mr. Coffee
Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
Robart
Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb5e27c8190867fb4968dea2e4e |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:52 p.m.