Triple

T5177338
Position Surface form Disambiguated ID Type / Status
Subject Grazzano Badoglio E116831 entity
Predicate partOf P40 FINISHED
Object Monferrato E166153 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: Monferrato | Statement: [Grazzano Badoglio, partOf, Monferrato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monferrato
Context triple: [Grazzano Badoglio, partOf, Monferrato]
  • A. Monferrato chosen
    Monferrato is a historic hilly wine-producing region in northwestern Italy, renowned for its vineyards, medieval towns, and cultural landscapes.
  • B. Valsesia
    Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
  • C. Nizza Monferrato
    Nizza Monferrato is a small town in Italy’s Piedmont region, known for its wine production—especially Barbera d’Asti—and its historic role in the Monferrato wine-growing area.
  • D. Monferrino Piedmontese
    Monferrino Piedmontese is a regional variety of the Piedmontese language spoken in the Monferrato area of northwestern Italy, characterized by its distinct phonetic and lexical features.
  • E. Valdelsa
    Valdelsa is a historical valley area in Tuscany, Italy, known for its medieval hill towns, agricultural landscapes, and cultural heritage.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95185ac819085fb42a69e014ec5 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.