Triple

T18360369
Position Surface form Disambiguated ID Type / Status
Subject Gargnano E439897 entity
Predicate hasCoastlineOn P212 FINISHED
Object Lake Garda 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: Lake Garda | Statement: [Gargnano, hasCoastlineOn, Lake Garda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Garda
Context triple: [Gargnano, hasCoastlineOn, Lake Garda]
  • A. Lake Garda chosen
    Lake Garda is Italy’s largest lake, renowned for its picturesque alpine scenery, mild climate, and popular resort towns.
  • 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. Lake Iseo
    Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
  • D. Lake Gardno
    Lake Gardno is a coastal lake in northern Poland known for its location within the Słowiński National Park and its proximity to the Baltic Sea.
  • 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 (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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516db045c8190b20c209225a53b9a completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.