Triple
T1040199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedmontese |
E22452
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Cuneese Piedmontese
Cuneese Piedmontese is a regional variety of the Piedmontese language spoken in and around the province of Cuneo in northwestern Italy.
|
E120205
|
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: Cuneese Piedmontese | Statement: [Piedmontese, hasDialects, Cuneese Piedmontese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuneese Piedmontese Context triple: [Piedmontese, hasDialects, Cuneese Piedmontese]
-
A.
Bega
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
-
B.
Limousin
Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
-
C.
Campagnone Common
Campagnone Common is a central public park and historic green space in Lawrence, Massachusetts, often used for community events and recreation.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
- 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: Cuneese Piedmontese Triple: [Piedmontese, hasDialects, Cuneese Piedmontese]
Generated description
Cuneese Piedmontese is a regional variety of the Piedmontese language spoken in and around the province of Cuneo in northwestern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cuneese Piedmontese Target entity description: Cuneese Piedmontese is a regional variety of the Piedmontese language spoken in and around the province of Cuneo in northwestern Italy.
-
A.
Bega
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
-
B.
Limousin
Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
-
C.
Campagnone Common
Campagnone Common is a central public park and historic green space in Lawrence, Massachusetts, often used for community events and recreation.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82e4d2c81909ca1264852baf04d |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc58d8c8190b9dc7a4bc986abcb |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3cf534008190a034d71c90f35efd |
completed | March 7, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d61a0c48190b619b3049df33512 |
completed | March 7, 2026, 2:59 p.m. |
Created at: March 1, 2026, 7:41 p.m.