Triple
T19386037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Vibo Valentia |
E484935
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fabrizia
Fabrizia is a small town and comune in the Calabria region of southern Italy, known for its mountainous setting and traditional rural character.
|
E1373033
|
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: Fabrizia | Statement: [Province of Vibo Valentia, contains, Fabrizia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabrizia Context triple: [Province of Vibo Valentia, contains, Fabrizia]
-
A.
Giovannina
Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
-
B.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
-
C.
Gianinna
Gianinna is an Argentine public figure best known as the daughter of legendary footballer Diego Maradona.
-
D.
Lodoletta
Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
-
E.
Patrizia
Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
- 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: Fabrizia Triple: [Province of Vibo Valentia, contains, Fabrizia]
Generated description
Fabrizia is a small town and comune in the Calabria region of southern Italy, known for its mountainous setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabrizia Target entity description: Fabrizia is a small town and comune in the Calabria region of southern Italy, known for its mountainous setting and traditional rural character.
-
A.
Giovannina
Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
-
B.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
-
C.
Gianinna
Gianinna is an Argentine public figure best known as the daughter of legendary footballer Diego Maradona.
-
D.
Lodoletta
Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
-
E.
Patrizia
Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b40d1148190b4fcd9ad56aa6910 |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b82d6008190b26d95f4356afe5c |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072c5c67d48190a393eef73abb8aba |
completed | May 15, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072ccebb388190b48c181017d95290 |
completed | May 15, 2026, 2:25 p.m. |
Created at: April 10, 2026, 1:35 p.m.