Triple

T11043253
Position Surface form Disambiguated ID Type / Status
Subject Nera River E261071 entity
Predicate hasValley P650 FINISHED
Object Valnerina E314765 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: Valnerina | Statement: [Nera River, hasValley, Valnerina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valnerina
Context triple: [Nera River, hasValley, Valnerina]
  • A. Valnerina chosen
    Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
  • B. Val di Greve
    Val di Greve is a valley area in the Chianti region of Tuscany, Italy, known for its historic villages and wine-producing landscapes.
  • C. Arzerello
    Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • D. Val Divedro
    Val Divedro is an alpine valley in the Piedmont region of northern Italy, known for its mountainous landscapes and location along important transalpine routes near the Swiss border.
  • E. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982d42bc81908ac10f54a7b43fb7 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e73e7f68819097213e4601c07ee8 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.