Triple
T10457143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Verbano-Cusio-Ossola |
E246576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mergozzo
Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
|
E872192
|
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: Mergozzo | Statement: [Province of Verbano-Cusio-Ossola, contains, Mergozzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mergozzo Context triple: [Province of Verbano-Cusio-Ossola, contains, Mergozzo]
-
A.
Bellinzona
Bellinzona is a historic Swiss city in the canton of Ticino, renowned for its three medieval castles that form a UNESCO World Heritage Site.
-
B.
Possagno
Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
-
C.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
D.
Chiasso
Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
-
E.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
- 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: Mergozzo Triple: [Province of Verbano-Cusio-Ossola, contains, Mergozzo]
Generated description
Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mergozzo Target entity description: Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
-
A.
Bellinzona
Bellinzona is a historic Swiss city in the canton of Ticino, renowned for its three medieval castles that form a UNESCO World Heritage Site.
-
B.
Possagno
Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
-
C.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
D.
Chiasso
Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
-
E.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b047b588190a116f4fbd4cdbc35 |
completed | April 10, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d94ca07da481908f2d546f8ddc9326 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94e8687bc819082b672a64bf85500 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 6, 2026, 12:18 p.m.