Triple

T11803521
Position Surface form Disambiguated ID Type / Status
Subject Barguzin River E280686 entity
Predicate mouth P407 FINISHED
Object Lake Baikal E56001 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 Baikal | Statement: [Barguzin River, mouth, Lake Baikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Baikal
Context triple: [Barguzin River, mouth, Lake Baikal]
  • A. Lake Baikal chosen
    Lake Baikal is a massive rift lake in Siberia renowned as the world's deepest and oldest freshwater lake, containing about one-fifth of the planet's unfrozen surface fresh water.
  • B. Kronotskoye Lake
    Kronotskoye Lake is a remote volcanic crater lake in Russia’s Kamchatka Peninsula, renowned for its pristine wilderness, rich wildlife, and dramatic surrounding landscapes.
  • C. Lake Beloye
    Lake Beloye is a large freshwater lake in northwestern Russia known for its role in regional waterways and its location within Vologda Oblast.
  • D. Svityaz Lake
    Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
  • E. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280fe1b2881908c32b920cdaf04df completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:42 p.m.