Triple

T910992
Position Surface form Disambiguated ID Type / Status
Subject Lombardy E19656 entity
Predicate contains P35 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: [Lombardy, contains, Lake Garda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Garda
Context triple: [Lombardy, contains, 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 Bolsena
    Lake Bolsena is a large volcanic crater lake in central Italy, renowned for its clear waters, scenic surroundings, and historical lakeside towns.
  • C. 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.
  • D. Lake Como, Italy
    Lake Como, Italy is a picturesque glacial lake in northern Italy renowned for its dramatic alpine scenery, historic villas, and status as a luxury retreat for celebrities and travelers.
  • E. Lake Bracciano
    Lake Bracciano is a large volcanic lake in central Italy, northwest of Rome, known for its clear waters, scenic surroundings, and role as a major source of the capital’s drinking water.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2de5b008190851852331db41324 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5c4acc8190a0f72ca30f187ed1 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.