Triple

T18447366
Position Surface form Disambiguated ID Type / Status
Subject Sartirana Lomellina E450691 entity
Predicate locatedIn P40 FINISHED
Object Lomellina 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: Lomellina | Statement: [Sartirana Lomellina, locatedIn, Lomellina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lomellina
Context triple: [Sartirana Lomellina, locatedIn, Lomellina]
  • A. Lomellina chosen
    Lomellina is a historical area in the Lombardy region of northern Italy, known for its agricultural plains, rice fields, and small medieval towns.
  • B. Campanian plain
    The Campanian plain is a fertile lowland region in southern Italy, known for its rich volcanic soils, intensive agriculture, and dense urban settlements around Naples and Caserta.
  • C. Maremma region
    The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
  • D. Lunigiana
    Lunigiana is a historical region in northwestern Italy, spanning parts of Tuscany and Liguria, known for its medieval castles, hilltop villages, and rugged Apennine landscapes.
  • E. Valsesia
    Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52645cb88819086b0e70b6613edcd completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.