Triple

T3424616
Position Surface form Disambiguated ID Type / Status
Subject Salò E72197 entity
Predicate locatedWestOf P4239 FINISHED
Object Lake Garda E102402 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: Lake Garda | Statement: [Salò, locatedWestOf, Lake Garda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Garda
Context triple: [Salò, locatedWestOf, 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. 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.
  • C. 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.
  • D. Lake Bolsena
    Lake Bolsena is a large volcanic crater lake in central Italy, renowned for its clear waters, scenic surroundings, and historical lakeside towns.
  • E. Lake Maggiore
    Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb97fa2d88190a79cb8c7be4b3696 completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367f369248190b411098b5654b8ad completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:15 p.m.