Triple
T16745104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rik Van Looy |
E406931
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Faema |
E85727
|
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: Faema | Statement: [Rik Van Looy, team, Faema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faema Context triple: [Rik Van Looy, team, Faema]
-
A.
Faema
chosen
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
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
C.
Saeco
Saeco was a prominent Italian professional road cycling team, active mainly in the 1990s and early 2000s, known for its aggressive racing style and sponsorship by the espresso machine manufacturer Saeco.
-
D.
Tassimo
Tassimo is a single-serve hot beverage system brand known for its coffee and other drink pods, originally developed and marketed by Kraft Foods.
-
E.
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.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa223aa88190a3c1805ece7317e2 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.