Triple
T10074848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Sondrio |
E213723
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Morbegno |
E836823
|
NE FINISHED |
How this triple was built (2 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: Morbegno | Statement: [Province of Sondrio, hasMunicipality, Morbegno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morbegno Context triple: [Province of Sondrio, hasMunicipality, Morbegno]
-
A.
Morbegno
chosen
Morbegno is a town in the Valtellina valley of northern Italy, known for its historic center and as a gateway to the surrounding Alpine area.
-
B.
Cortabbio
Cortabbio is a small locality or hamlet that forms part of the municipality of Esino Lario in northern Italy.
-
C.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
-
D.
Grugliasco
Grugliasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
-
E.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b649b7488190ad765d4ee6eac5d7 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:59 p.m.