Triple
T5386239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuneese Piedmontese |
E120205
|
entity |
| Predicate | isDifferentiatedFrom |
P6335
|
FINISHED |
| Object | Alessandria Piedmontese |
E238351
|
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: Alessandria Piedmontese | Statement: [Cuneese Piedmontese, isDifferentiatedFrom, Alessandria Piedmontese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessandria Piedmontese Context triple: [Cuneese Piedmontese, isDifferentiatedFrom, Alessandria Piedmontese]
-
A.
Alessandria
chosen
Alessandria is a city in the Piedmont region of northwestern Italy, known as an important industrial and transportation hub.
-
B.
Biella
Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
-
C.
Cuneo
Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
-
D.
Ivrea
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
-
E.
Imperia
Imperia is a coastal city in northwestern Italy’s Liguria region, known for its olive oil production, historic port, and seaside tourism.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd91ac1bf08190a9a575c9822de6cc |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a997ad08190acfdd7cc1b396262 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 2:03 p.m.