Triple
T18445158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buonalbergo family |
E450635
|
entity |
| Predicate | ethnicOrigin |
P194
|
FINISHED |
| Object | Lombard |
—
|
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: Lombard | Statement: [Buonalbergo family, ethnicOrigin, Lombard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lombard Context triple: [Buonalbergo family, ethnicOrigin, Lombard]
-
A.
Lombard
chosen
Lombard is a Gallo-Italic Romance language traditionally spoken in and around Milan and across much of Lombardy in northern Italy.
-
B.
Lombard
Lombard is a suburban village in DuPage County, Illinois, located west of Chicago and known as the "Lilac Village" for its annual Lilac Festival and historic Lilacia Park.
-
C.
Lombard
Lombard was a major British financial institution and motor finance company known for its prominent sponsorship of motorsport events.
-
D.
Lombard Italy
Lombard Italy was the early medieval kingdom in the Italian peninsula ruled by the Germanic Lombards from the 6th to 8th centuries, known for its distinctive legal traditions and role as a successor state to the Western Roman Empire.
-
E.
Lombardo
Lombardo is an Italian-origin surname borne by various notable individuals in fields such as politics, music, and organized crime.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c15127881909d23b6dd45d7ccc9 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.