Triple
T6356190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucine |
E142996
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Capannole
Capannole is a small locality or village that forms part of the municipality of Bucine in the Tuscany region of Italy.
|
E589216
|
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: Capannole | Statement: [Bucine, hasSubdivision, Capannole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capannole Context triple: [Bucine, hasSubdivision, Capannole]
-
A.
Cascina
Cascina is a historic Tuscan town in central Italy, located near Pisa and known for its traditional woodworking and furniture-making industries.
-
B.
Capanna Regina Margherita
Capanna Regina Margherita is a high-altitude mountain hut and research station in the Alps, renowned as one of the highest buildings in Europe and a key base for climbers and scientists on Monte Rosa.
-
C.
Cottanello
Cottanello is a small historic municipality in the Lazio region of central Italy, known for its rural landscape and traditional architecture.
-
D.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
E.
Trattoria al Forno
Trattoria al Forno is an Italian-inspired restaurant at Walt Disney World known for its rustic cuisine and character dining experiences.
- 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: Capannole Triple: [Bucine, hasSubdivision, Capannole]
Generated description
Capannole is a small locality or village that forms part of the municipality of Bucine in the Tuscany region of Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capannole Target entity description: Capannole is a small locality or village that forms part of the municipality of Bucine in the Tuscany region of Italy.
-
A.
Cascina
Cascina is a historic Tuscan town in central Italy, located near Pisa and known for its traditional woodworking and furniture-making industries.
-
B.
Capanna Regina Margherita
Capanna Regina Margherita is a high-altitude mountain hut and research station in the Alps, renowned as one of the highest buildings in Europe and a key base for climbers and scientists on Monte Rosa.
-
C.
Cottanello
Cottanello is a small historic municipality in the Lazio region of central Italy, known for its rural landscape and traditional architecture.
-
D.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
E.
Trattoria al Forno
Trattoria al Forno is an Italian-inspired restaurant at Walt Disney World known for its rustic cuisine and character dining experiences.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d5966a88190a7184157b235b170 |
completed | March 27, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69c62f5da47081908c995e28ba2ee3f8 |
completed | March 27, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62fd9dd4c819091e0d87259f9d60f |
completed | March 27, 2026, 7:20 a.m. |
Created at: March 22, 2026, 4:32 p.m.