Triple
T16448465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bormio |
E399491
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Valdidentro
Valdidentro is a mountainous municipality in the Lombardy region of northern Italy, known for its alpine landscapes, ski areas, and thermal spas.
|
E1213196
|
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: Valdidentro | Statement: [Bormio, near, Valdidentro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdidentro Context triple: [Bormio, near, Valdidentro]
-
A.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
B.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
C.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
- 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: Valdidentro Triple: [Bormio, near, Valdidentro]
Generated description
Valdidentro is a mountainous municipality in the Lombardy region of northern Italy, known for its alpine landscapes, ski areas, and thermal spas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdidentro Target entity description: Valdidentro is a mountainous municipality in the Lombardy region of northern Italy, known for its alpine landscapes, ski areas, and thermal spas.
-
A.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
-
B.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
C.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Nigoglia
Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a0046833e208190a0e1e37fc24c09e0 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:10 a.m.