Triple

T10035009
Position Surface form Disambiguated ID Type / Status
Subject Valtellina E204943 entity
Predicate containsTown P847 FINISHED
Object Morbegno
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.
 E836823 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: Morbegno | Statement: [Valtellina, containsTown, Morbegno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morbegno
Context triple: [Valtellina, containsTown, Morbegno]
  • A. Cortabbio
    Cortabbio is a small locality or hamlet that forms part of the municipality of Esino Lario in northern Italy.
  • B. 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.
  • C. Grugliasco
    Grugliasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • D. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • E. Caslano
    Caslano is a picturesque Swiss village in the canton of Ticino, known for its lakeside setting on Lake Lugano and its blend of Italian-Swiss culture.
  • 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: Morbegno
Triple: [Valtellina, containsTown, Morbegno]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morbegno
Target entity description: 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.
  • A. Cortabbio
    Cortabbio is a small locality or hamlet that forms part of the municipality of Esino Lario in northern Italy.
  • B. 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.
  • C. Grugliasco
    Grugliasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • D. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • E. Caslano
    Caslano is a picturesque Swiss village in the canton of Ticino, known for its lakeside setting on Lake Lugano and its blend of Italian-Swiss culture.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28250be608190b7e2b809672cdd78 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2834f6d488190812f91a5b4971c1e completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d28432d900819091ff0d324a6bb28a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:55 p.m.