Triple
T18998617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannobio |
E464885
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Campagnano
Campagnano is a locality or frazione within the municipality of Cannobio in the Piedmont region of northern Italy.
|
E1353195
|
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: Campagnano | Statement: [Cannobio, hasSubdivision, Campagnano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campagnano Context triple: [Cannobio, hasSubdivision, Campagnano]
-
A.
Campagnano di Roma
Campagnano di Roma is a historic town in the Lazio region of central Italy, situated in the countryside north of Rome and known for its medieval center and surrounding natural landscapes.
-
B.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
C.
Truccazzano
Truccazzano is a small municipality in the Lombardy region of northern Italy, situated in the Metropolitan City of Milan.
-
D.
Casertano
Casertano is the Italian term for a person or thing originating from the city of Caserta in southern Italy.
-
E.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
- 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: Campagnano Triple: [Cannobio, hasSubdivision, Campagnano]
Generated description
Campagnano is a locality or frazione within the municipality of Cannobio in the Piedmont region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campagnano Target entity description: Campagnano is a locality or frazione within the municipality of Cannobio in the Piedmont region of northern Italy.
-
A.
Campagnano di Roma
Campagnano di Roma is a historic town in the Lazio region of central Italy, situated in the countryside north of Rome and known for its medieval center and surrounding natural landscapes.
-
B.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
C.
Truccazzano
Truccazzano is a small municipality in the Lombardy region of northern Italy, situated in the Metropolitan City of Milan.
-
D.
Casertano
Casertano is the Italian term for a person or thing originating from the city of Caserta in southern Italy.
-
E.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b459c36c8190a9d8831fdb7f8b93 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b6491f608190a72d40867f4a2ca3 |
completed | May 14, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b6cd93c88190a5400e86a14771f1 |
completed | May 14, 2026, 11:49 a.m. |
Created at: April 10, 2026, 12:01 p.m.