Triple

T8032646
Position Surface form Disambiguated ID Type / Status
Subject Perledo E187023 entity
Predicate borders P224 FINISHED
Object Esino Lario E205472 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: Esino Lario | Statement: [Perledo, borders, Esino Lario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esino Lario
Context triple: [Perledo, borders, Esino Lario]
  • A. Esino Lario chosen
    Esino Lario is a small mountain village in the Lombardy region of northern Italy, known for its scenic Alpine setting above Lake Como and for hosting Wikimania 2016.
  • B. Isola del Garda
    Isola del Garda is a picturesque private island on Italy’s Lake Garda, known for its historic Venetian-style villa, lush gardens, and scenic lakeside setting.
  • C. Doberdò Lake
    Doberdò Lake is a karstic lake in northeastern Italy known for its fluctuating water levels and unique wetland ecosystem within the Karst Plateau.
  • D. Lake Garda
    Lake Garda is Italy’s largest lake, renowned for its picturesque alpine scenery, mild climate, and popular resort towns.
  • E. Lake Varese
    Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc64982d08190976144beafcd231d completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 5:22 p.m.