Triple

T13679620
Position Surface form Disambiguated ID Type / Status
Subject Carmagnola E327964 entity
Predicate hasDemonym P191 FINISHED
Object Carmagnolesi
Carmagnolesi are the inhabitants or natives of Carmagnola, a town in the Piedmont region of northern Italy.
 E579292 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: Carmagnolesi | Statement: [Carmagnola, hasDemonym, Carmagnolesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carmagnolesi
Context triple: [Carmagnola, hasDemonym, Carmagnolesi]
  • A. Caselotti
    Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
  • B. Montenars
    Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
  • C. Legnani
    Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
  • D. Mirandolesi
    Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • E. Savagnin
    Savagnin is a white wine grape variety traditionally grown in France’s Jura region, known for producing distinctive, nutty, and oxidative-style wines such as vin jaune.
  • 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: Carmagnolesi
Triple: [Carmagnola, hasDemonym, Carmagnolesi]
Generated description
Carmagnolesi are the inhabitants or natives of Carmagnola, a town in the Piedmont region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carmagnolesi
Target entity description: Carmagnolesi are the inhabitants or natives of Carmagnola, a town in the Piedmont region of northern Italy.
  • A. Caselotti
    Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
  • B. Montenars
    Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
  • C. Legnani
    Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
  • D. Mirandolesi chosen
    Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • E. Savagnin
    Savagnin is a white wine grape variety traditionally grown in France’s Jura region, known for producing distinctive, nutty, and oxidative-style wines such as vin jaune.
  • F. None of above.

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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944347a08190bc1386e78ddb3e71 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:53 p.m.