Triple

T9208529
Position Surface form Disambiguated ID Type / Status
Subject Province of Bergamo E221049 entity
Predicate hasLake P1025 FINISHED
Object Lake Iseo E247871 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 Iseo | Statement: [Province of Bergamo, hasLake, Lake Iseo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Iseo
Context triple: [Province of Bergamo, hasLake, Lake Iseo]
  • A. Lake Iseo chosen
    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.
  • B. Lake Varese
    Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
  • C. Lake Garda
    Lake Garda is Italy’s largest lake, renowned for its picturesque alpine scenery, mild climate, and popular resort towns.
  • 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. 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.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1adc2508190b8a24510ee61f092 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:26 p.m.