Triple
T12187694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba Pompeia |
E290376
|
entity |
| Predicate | modernSuccessor |
P3901
|
FINISHED |
| Object | Alba, Piedmont |
E293339
|
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: Alba, Piedmont | Statement: [Alba Pompeia, modernSuccessor, Alba, Piedmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alba, Piedmont Context triple: [Alba Pompeia, modernSuccessor, Alba, Piedmont]
-
A.
Alba, Italy
chosen
Alba is a historic town in Italy’s Piedmont region, renowned for its white truffles, fine wines like Barolo and Barbaresco, and well-preserved medieval center.
-
B.
Villafranca Piemonte
Villafranca Piemonte is a municipality in the Piedmont region of northwestern Italy, historically associated with the House of Savoy.
-
C.
Piedmont, Italy
Piedmont, Italy is a northwestern Italian region known for its Alpine landscapes, rich culinary and wine traditions (including Barolo and Barbaresco), and historic cities such as Turin.
-
D.
Biella
Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
-
E.
Grugliasco, Italy
Grugliasco, Italy is a town in the Metropolitan City of Turin known for its automotive industry, including hosting a Maserati production facility.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b0a84c8190ae593e368c13b5a5 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.