Triple
T7203725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nespresso |
E148612
|
entity |
| Predicate | machineCompatibility |
P34359
|
FINISHED |
| Object | Nespresso Vertuo capsules |
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: Nespresso Vertuo capsules | Statement: [Nespresso, machineCompatibility, Nespresso Vertuo capsules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nespresso Vertuo capsules Context triple: [Nespresso, machineCompatibility, Nespresso Vertuo capsules]
-
A.
Nespresso
chosen
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
B.
Dolce Gusto
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
C.
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.
-
D.
Lavazza
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
-
E.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
- 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_69c6f04089408190aa20ed6767590ae1 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbecb7ec819080b12a63dfa56328 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:52 p.m.