Triple
T22948913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piaggio |
E569952
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Vespa |
—
|
NE NERFINISHED |
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: Vespa | Statement: [Piaggio, notableProduct, Vespa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vespa Context triple: [Piaggio, notableProduct, Vespa]
-
A.
Vespa
Vespa is a genus of large social wasps best known for including the true hornets found across Europe and Asia.
-
B.
Vespa
chosen
Vespa is an iconic Italian brand of motor scooters known for its distinctive design and widespread popularity in urban transportation.
-
C.
Lambretta
Lambretta is an iconic Italian line of motor scooters, renowned for its stylish design and popularity in post-war urban transport and scooter culture.
-
D.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
E.
Cotton Vespasian D XIV
Cotton Vespasian D XIV is a medieval manuscript from the Cotton collection, notable for its historical and literary contents preserved in the British Library.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.