Triple
T8461549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossuccio |
E200050
|
entity |
| Predicate | localDialect |
P1762
|
FINISHED |
| Object | Lombard |
E75301
|
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: Lombard | Statement: [Ossuccio, localDialect, Lombard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lombard Context triple: [Ossuccio, localDialect, 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.
Brescian
Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
-
C.
Budrio
Budrio is a historic town in Italy’s Emilia-Romagna region, known for its agricultural traditions and proximity to the city of Bologna.
-
D.
Bobbio
Bobbio is an Italian surname most notably borne by the influential 20th-century legal philosopher and political theorist Norberto Bobbio.
-
E.
Cremona
Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a0ff4c8190b17bbd33db632cea |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1df5d76881909ea5040824985cc3 |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:10 p.m.