Triple
T3559546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lombard |
E75301
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Lodigiano
Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
|
E374430
|
NE FINISHED |
How this triple was built (4 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: Lodigiano | Statement: [Lombard, hasDialect, Lodigiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodigiano Context triple: [Lombard, hasDialect, Lodigiano]
-
A.
Sabbioneta
Sabbioneta is a Renaissance-era planned town in northern Italy renowned for its well-preserved urban layout, architecture, and cultural heritage.
-
B.
Legnago
Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
-
C.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
-
D.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
-
E.
Busto Arsizio
Busto Arsizio is an industrial city in the Lombardy region of northern Italy, known for its textile and manufacturing heritage and its location within the greater Milan metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lodigiano Triple: [Lombard, hasDialect, Lodigiano]
Generated description
Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lodigiano Target entity description: Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
-
A.
Sabbioneta
Sabbioneta is a Renaissance-era planned town in northern Italy renowned for its well-preserved urban layout, architecture, and cultural heritage.
-
B.
Legnago
Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
-
C.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
-
D.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
-
E.
Busto Arsizio
Busto Arsizio is an industrial city in the Lombardy region of northern Italy, known for its textile and manufacturing heritage and its location within the greater Milan metropolitan area.
- F. None of above. chosen
Provenance (5 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc089270c81908bc200c84fe1592e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432fdda488190a31f74e80685c121 |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b436f57b2c8190b010197b01859980 |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b437493384819084a7213fe754526b |
completed | March 13, 2026, 4:11 p.m. |
Created at: March 8, 2026, 3:20 p.m.