Triple

T19810889
Position Surface form Disambiguated ID Type / Status
Subject Ceresole Alba E475940 entity
Predicate partOf P40 FINISHED
Object Roero NE NERFINISHED

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: Roero | Statement: [Ceresole Alba, partOf, Roero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roero
Context triple: [Ceresole Alba, partOf, Roero]
  • A. Roero chosen
    Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
  • B. Rodange
    Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
  • C. Saar
    The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
  • D. Saar
    Saar is a residential town and affluent suburb in the Kingdom of Bahrain, known for its archaeological sites and proximity to the capital, Manama.
  • E. Saar
    Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542bd7a48190acf67db41f1131c9 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.