Triple
T11350709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa San Giovanni |
E268831
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Villesi
Villesi are the inhabitants or natives of Villa San Giovanni, a town in the Calabria region of southern Italy.
|
E920294
|
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: Villesi | Statement: [Villa San Giovanni, hasDemonym, Villesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villesi Context triple: [Villa San Giovanni, hasDemonym, Villesi]
-
A.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
B.
Satala
Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
-
C.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
D.
Cinisi
Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
-
E.
Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
- 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: Villesi Triple: [Villa San Giovanni, hasDemonym, Villesi]
Generated description
Villesi are the inhabitants or natives of Villa San Giovanni, a town in the Calabria region of southern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villesi Target entity description: Villesi are the inhabitants or natives of Villa San Giovanni, a town in the Calabria region of southern Italy.
-
A.
Rissani
Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
-
B.
Satala
Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
-
C.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
D.
Cinisi
Cinisi is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its proximity to Palermo’s main international airport.
-
E.
Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea23391c819089e8f9725cb3a0ff |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5439a7ee481908d244f79041b3af6 |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e5474b77948190b2c45831871383e8 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.