Triple

T11550046
Position Surface form Disambiguated ID Type / Status
Subject Baikal seal E273865 entity
Predicate hasTypeLocality P9695 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: [Baikal seal, hasTypeLocality, Lake Baikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Baikal
Context triple: [Baikal seal, hasTypeLocality, 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018d260488190a8c716787247797f completed April 28, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:37 p.m.