Triple

T6653851
Position Surface form Disambiguated ID Type / Status
Subject bagna càuda E150890 entity
Predicate traditionalIn P22735 FINISHED
Object Cuneo E235587 NE FINISHED

How this triple was built (2 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: Cuneo | Statement: [bagna càuda, traditionalIn, Cuneo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuneo
Context triple: [bagna càuda, traditionalIn, Cuneo]
  • A. Cuneo chosen
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • B. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • C. Alessandria
    Alessandria is a city in the Piedmont region of northwestern Italy, known as an important industrial and transportation hub.
  • D. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • E. Novara
    Novara is a city in the Piedmont region of northern Italy, known for its historic center, rice cultivation in the surrounding plains, and role as an important local economic and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b047eb688190bca86be98ac25e39 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74237905c8190abb9b98a8c603662 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:01 p.m.