Triple

T8658125
Position Surface form Disambiguated ID Type / Status
Subject Esino Lario E205472 entity
Predicate locatedNear P294 FINISHED
Object Varenna E35777 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: Varenna | Statement: [Esino Lario, locatedNear, Varenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varenna
Context triple: [Esino Lario, locatedNear, Varenna]
  • A. Varenna chosen
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • B. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • C. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • D. Lonigo
    Lonigo is a town and municipality in the Veneto region of northern Italy, known for its historic architecture and surrounding wine-producing countryside.
  • E. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486d576081908ad28749c7971432 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139a069f881909cc59bad0f110830 completed April 4, 2026, 4:17 p.m.
Created at: March 30, 2026, 6:30 p.m.