Triple

T5222747
Position Surface form Disambiguated ID Type / Status
Subject Province of Verona E117909 entity
Predicate contains P35 FINISHED
Object Soave
Soave is a historic Italian town in the Veneto region, renowned for its medieval castle and as the namesake of a famous white wine.
 E504267 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: Soave | Statement: [Province of Verona, contains, Soave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soave
Context triple: [Province of Verona, contains, Soave]
  • A. Bardolino
    Bardolino is a picturesque Italian town in the Veneto region, renowned for its lakeside setting on Lake Garda and its namesake red wine.
  • B. Negrar di Valpolicella
    Negrar di Valpolicella is a municipality in Italy’s Veneto region, renowned for its vineyards and production of Valpolicella wines.
  • C. Chianti
    Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
  • D. Dolcetto
    Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
  • E. Barbaresco
    Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
  • 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: Soave
Triple: [Province of Verona, contains, Soave]
Generated description
Soave is a historic Italian town in the Veneto region, renowned for its medieval castle and as the namesake of a famous white wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soave
Target entity description: Soave is a historic Italian town in the Veneto region, renowned for its medieval castle and as the namesake of a famous white wine.
  • A. Bardolino
    Bardolino is a picturesque Italian town in the Veneto region, renowned for its lakeside setting on Lake Garda and its namesake red wine.
  • B. Negrar di Valpolicella
    Negrar di Valpolicella is a municipality in Italy’s Veneto region, renowned for its vineyards and production of Valpolicella wines.
  • C. Chianti
    Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
  • D. Dolcetto
    Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
  • E. Barbaresco
    Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abba82881908c030ba55146b8ea completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8059c808190aac709a199541ce7 completed March 21, 2026, 7:56 p.m.
NEDg Description generation batch_69bef86618988190b1c5e53b4a65c8d9 completed March 21, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69bef8c5eed88190a3fded477e72dc65 completed March 21, 2026, 8 p.m.
Created at: March 20, 2026, 1:48 p.m.