Triple

T10035023
Position Surface form Disambiguated ID Type / Status
Subject Valtellina E204943 entity
Predicate hasSubregion P285 FINISHED
Object Sassella
Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
 E836825 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: Sassella | Statement: [Valtellina, hasSubregion, Sassella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sassella
Context triple: [Valtellina, hasSubregion, Sassella]
  • A. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • B. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • C. Salleri
    Salleri is a town in eastern Nepal that serves as the main commercial and administrative center of the Solukhumbu region, gateway to the Everest area.
  • D. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • E. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • 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: Sassella
Triple: [Valtellina, hasSubregion, Sassella]
Generated description
Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sassella
Target entity description: Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
  • A. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • B. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • C. Salleri
    Salleri is a town in eastern Nepal that serves as the main commercial and administrative center of the Solukhumbu region, gateway to the Everest area.
  • D. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • E. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • 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.